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Using big data for good

A photogenic green-eyed Russian Blue named Petra might just be the world’s most sequenced cat. Petra was rescued from an animal shelter in Reno, Nevada, by Charlie Lieu, MBA ’05, SM ’05, a data whiz, serial entrepreneur, investor, and cofounder of Darwin’s Ark, a community science nonprofit focused on pet genetics. Since becoming Lieu’s furry friend, Petra has had her DNA fully sequenced six times and extracted nearly 60 times, all in the name of science.  Petra is just one of more than 67,000 cats and dogs whose information has been entered by their human caretakers into the Darwin’s Ark databases, which the organization’s researchers and collaborators are using to try to better understand pet health and behavior. Since its founding in 2018, Darwin’s Ark has helped researchers probe everything from cancer to sociability to whether or not trainability is inherited, allowing them to debunk stereotypes about dog breeds and investigate similarities between complex diseases in humans and animals.  Petra is always ready for a close-up.COURTESY OF CHARLIE LIEU DNA testing for dogs  is common at this point, with multiple for-profit companies offering to break down your pet’s breed background for a fee. But Lieu and her Darwin’s Ark cofounder, Elinor K. Karlsson, wanted to go beyond offering individualized DNA reports and invite humans to participate in surveys about how their pets play and socialize, and even whether or not they get the zoomies right after using the litter box. This approach pairs DNA with vast amounts of behavioral data collected by the people who know these animals best, thus harnessing the power of humans’ love for their pets to advance cutting-­edge science.  In the process, Darwin’s Ark has solved a problem that is often an obstacle in human medicine: how to get the enormous quantity of data needed to actually understand, and eventually solve, medical problems.  It was this problem that initially interested Lieu, who is chief of research operations for Darwin’s Ark, in pet genetics. Lieu spent some of the early, formative years of her career working on the Human Genome Project at the Broad Institute, where she first collaborated with Karlsson—and remembers sleeping under her desk in the late ’90s while “babysitting” servers in case they needed to be rebooted in the middle of the night. For many years, her North Star was cancer research: Her mom had died of cancer, “nearly everyone” on her mom’s side of the family got cancer at some point, and Lieu herself had her first of multiple tumors removed at age 17.  Researchers used data collected by Darwin’s Ark to show that just 9% of variations in dog behavior can be predicted by breed. Throughout her nearly 30 years working with the Broad and other initiatives related to such research, Lieu has often felt struck by how difficult it is to study complex diseases like cancer. Gathering extensive data about people while maintaining their legally mandated privacy can be tricky, as is getting them to participate in strict protocols over the course of many years (an issue she has also experienced from the other side, since she is enrolled in multiple longitudinal studies). About a decade ago, Lieu reconnected with Karlsson, who had moved on from the Human Genome Project to work on animal genetics and was engaging with pet owners in her research. Karlsson bemoaned how hard it was to get the large-scale genomic data needed to advance scientific understanding, and something clicked. What if they could tap into Lieu’s expertise with big data platforms and her experience starting nonprofits to collect genomic data from pets as a proxy for understanding complex diseases and behavior? “We talked a lot about how we [might] enable a platform that could help us collect the right kinds of data at the level that’s necessary in order to do the kinds of science that the world needs,” Lieu says. That might be hard with humans, but “everybody wants to talk about their dogs and cats, right?” Thus Darwin’s Ark was born. Initially it focused on dogs, and using its data, Karlsson and a team from the Broad and elsewhere were able to demonstrate that just 9% of variations in behavior can be predicted by breed—much less than people might think. Lieu hopes the finding will help certain much-­maligned breeds such as pit bulls, which tend to be adopted at lower rates and sometimes are even put down on the basis of faulty assumptions about their behavior.  But the work Darwin’s Ark is doing isn’t just helping pets—it could benefit humans, too, as researchers increasingly probe the links between human and animal cancers.  Darwin’s Ark initially focused on collecting DNA data from dogs; the nonprofit also invites humans to take part in surveys on such things as how their pets play and socialize.GETTY IMAGES “We were involved in some early dog work in cancer, where we collaborated with another group to understand whether or not you could take a blood draw and figure out whether or not the animal has cancer,” says Lieu. “Turns out you could. And in the last couple of years, an FDA-approved test has been available for humans to figure out whether or not you have lung cancer. All that work started in dogs, so you could start to see the power of doing something in animals that then impacts human health.” Darwin’s Ark broadened its focus to cats in 2024, and while it’s too soon for any results, even the research methods are proving interesting. The usual way to extract DNA from a living animal is by swabbing the inside of a cheek. Dogs don’t mind the process, but cats are not as amenable to having things stuck in their mouths. Nor do cats appreciate having hairs plucked out with their follicles, another potential source of DNA for sequencing. So Chad Nusbaum, PhD ’91, another Human Genome Project colleague that Lieu recruited, helped the Darwin’s Ark team figure out how to effectively extract DNA from fur or hair that has been shed—a big breakthrough for the field. (This means, in practice, that cats’ DNA is collected by brushing their fur. Now the cats “not only don’t mind sample collection—some of them really enjoy it,” Nusbaum says with a laugh.)  That’s good for cats, but it could also have far-reaching implications in the world of conservation, where obtaining DNA from endangered or sensitive animals via blood or skin samples can be prohibitively difficult or distressing to the animals. Being able to rely instead on a few strands of naturally shed hair could unlock new frontiers for conservationists working with sensitive species. The knowledge that progress on such crucial issues could come from inside or outside the organization was what led Lieu and Karlsson to structure Darwin’s Ark as a nonprofit and make its data available for free to researchers outside commercial settings. While it already periodically shares its sequence data in various public repositories, those repositories are managed by different entities, making it more difficult for scientists to use the information. So researchers must often write in, explain what they’re trying to do, and put in a custom request.Darwin’s Ark just got a grant that will allow it to begin building a public portal for the data, making it far easier for researchers to access, match, and use. “Our hope is that we would be able to create a data set that scientists around the world would be able to leverage to elucidate whatever it is that they’re doing,” Lieu says. “Whether you’re a cancer scientist or a neurological scientist or an immunology-focused scientist, any number of complex disease areas could be helped by having very massive data sets.” For Lieu, Darwin’s Ark is but the latest line in a long and wide-ranging résumé that includes stints at Amazon and NASA. “The thread that ties it all together is big data,” she says. After living and breathing data in her work on the Human Genome Project, Lieu tackled a very different big data challenge at Amazon on a team that collected data on warehouse fulfillment. Drawing on her biological sciences background, she developed an evolutionary algorithm for outbound logistics that made it possible—without constantly analyzing the data—to dynamically optimize storage and dramatically lower fulfillment costs.  The founder or cofounder of at least a dozen ventures to date, she built on her experience at Amazon with her most recent startup, a logistics company called AirTerra that helps e-commerce retailers streamline delivery by bringing together highly fragmented last-mile shipping providers under one umbrella. Officially founded in 2020, it quickly achieved unicorn status and was acquired by the fashion company American Eagle Outfitters in 2021. While Lieu chalks some of that success up to luck (“You start a shipping and logistics organization in the pandemic—of course you’re going to get acquired”), her cofounder Brent Beabout, MBA ’02, is quick to point to the skill and work ethic that made her “luck” possible.  Besides being “highly collaborative” and “super knowledgeable,” Lieu gave her all in a way that set her apart, according to Beabout. “She is a passionate person,” he says. “I’ve never seen a person that worked as many hours as Charlie did … I don’t think she ever slept.” Lieu jokes that she’s in a “midlife crisis” as she sorts out what to do next, because there’s so much she could do. So she’s looking for the “biggest thing” she can do for the world. Though Lieu has made out well as an entrepreneur, she grew up “well below the poverty line.” Both those experiences shaped the kind of investor she’s become: one who is distinctly interested in helping other entrepreneurs confront barriers. “I wanted to look back on all the obstacles that I had faced coming up,” she says. “Not just as a woman, not just as a person of color, but [also] the economic barriers of not having the network, not being able to access other people who have been successful, not even understanding the basics of financial markets.” To that end, she’s spent much of her career trying to give back through mentorship and direct investment in ventures started by founders from underrepresented backgrounds. Her passion for social causes doesn’t end there. Lieu has also volunteered with her local trails association and served on a wide range of boards near her home in the Seattle area. In the mid 2010s, an outdoors-focused organization where she was on the board came under fire for having given a platform to a rock climber who had been credibly accused of sexual assault. As a climber herself, Lieu had assumed that sexual assault wasn’t a major problem in those circles—but, being data-minded as always, she came up with a plan to conduct a survey about the issue while protecting respondents’ anonymity. Lieu on a hike with her goddaughter, Mary Ann Seek (center), and Darwin’s Ark cofounder Elinor Karlsson.COURTESY OF CHARLIE LIEU That survey grew into SafeOutside, a grassroots movement focusing on combating sexual assault in the outdoors community. After parsing the data—and realizing just how widespread the problem was—Lieu spent years interviewing individual survivors about their experiences and eventually partnered with Alpinist magazine to publicize and share the results of the survey. Beyond sparking much-needed conversation, the initiative turned out to be instrumental in getting Charlie Barrett, a once-celebrated professional climber, put behind bars. He is now serving a life sentence after his conviction for repeatedly sexually assaulting a female climber at Yosemite National Park. Three additional women testified at his trial that they had also been sexually assaulted by Barrett. Katie Ives, the editor Lieu worked with on the project at Alpinist, remembers being impressed by Lieu’s “sense of caring and compassion and her determination to amplify the voices of people who have been marginalized by history or by the climbing community.” She describes Lieu as a person “whose life is very much driven by a sense of ethical purpose.” At first Lieu worked on SafeOutside quietly; fearing professional repercussions, she asked that her name be omitted or mentioned only in passing in reporting on the project. She reasoned that the subject made people uncomfortable. But in early 2025, she began to discuss it more openly. “That’s actually part of the problem, right? People who have status refusing to talk about an issue that’s so prevalent,” she says. Today, she’s more outspoken than ever and wants to encourage others with any kind of social clout to speak up as well. In some ways, this reevaluation of her approach reflects the crossroads at which Lieu now finds herself. After years of starting new ventures, serving on seemingly endless boards, and typically getting by on three to five hours of sleep a night, she’s finally taking a step back: saying no to board positions, pressing pause on new venture ideas, and even hiring a team that allows her to pass off more of her Darwin’s Ark work to other people. Lieu has always liked—and is especially good at—shepherding new companies through the startup and early growth stages. So she’s been recruiting a new leadership team to take over the reins as Darwin’s Ark prepares for its next phase of growth. She’s aiming to step away from day-to-day operations this spring and will remain a board member and active advisor—and jokes that she’s in a sort of “midlife crisis” at age 50 as she tries to sort out what to do next, because there’s so much she could do. In this new chapter, Lieu says, she’s trying to identify the “biggest thing” she can be doing for the world in this moment. For now, she’s leaning toward working on economic inequality and reproductive health access, which she says are inextricably tied not only to each other but also to ecology and sustainability. If her past endeavors—from promoting the well-being of cats to pursuing cures for cancer—are any indication, any cause she devotes herself to will be lucky to have her. “She’s just somebody who gets things done,” says Ives.   And all the data on Lieu says that’s not going to change.

A photogenic green-eyed Russian Blue named Petra might just be the world’s most sequenced cat. Petra was rescued from an animal shelter in Reno, Nevada, by Charlie Lieu, MBA ’05, SM ’05, a data whiz, serial entrepreneur, investor, and cofounder of Darwin’s Ark, a community science nonprofit focused on pet genetics. Since becoming Lieu’s furry friend, Petra has had her DNA fully sequenced six times and extracted nearly 60 times, all in the name of science. 

Petra is just one of more than 67,000 cats and dogs whose information has been entered by their human caretakers into the Darwin’s Ark databases, which the organization’s researchers and collaborators are using to try to better understand pet health and behavior. Since its founding in 2018, Darwin’s Ark has helped researchers probe everything from cancer to sociability to whether or not trainability is inherited, allowing them to debunk stereotypes about dog breeds and investigate similarities between complex diseases in humans and animals. 

Petra under the covers of a bed
Petra is always ready for a close-up.
COURTESY OF CHARLIE LIEU

DNA testing for dogs  is common at this point, with multiple for-profit companies offering to break down your pet’s breed background for a fee. But Lieu and her Darwin’s Ark cofounder, Elinor K. Karlsson, wanted to go beyond offering individualized DNA reports and invite humans to participate in surveys about how their pets play and socialize, and even whether or not they get the zoomies right after using the litter box. This approach pairs DNA with vast amounts of behavioral data collected by the people who know these animals best, thus harnessing the power of humans’ love for their pets to advance cutting-­edge science. 

In the process, Darwin’s Ark has solved a problem that is often an obstacle in human medicine: how to get the enormous quantity of data needed to actually understand, and eventually solve, medical problems. 

It was this problem that initially interested Lieu, who is chief of research operations for Darwin’s Ark, in pet genetics. Lieu spent some of the early, formative years of her career working on the Human Genome Project at the Broad Institute, where she first collaborated with Karlsson—and remembers sleeping under her desk in the late ’90s while “babysitting” servers in case they needed to be rebooted in the middle of the night. For many years, her North Star was cancer research: Her mom had died of cancer, “nearly everyone” on her mom’s side of the family got cancer at some point, and Lieu herself had her first of multiple tumors removed at age 17. 

Researchers used data collected by Darwin’s Ark to show that just 9% of variations in dog behavior can be predicted by breed.

Throughout her nearly 30 years working with the Broad and other initiatives related to such research, Lieu has often felt struck by how difficult it is to study complex diseases like cancer. Gathering extensive data about people while maintaining their legally mandated privacy can be tricky, as is getting them to participate in strict protocols over the course of many years (an issue she has also experienced from the other side, since she is enrolled in multiple longitudinal studies).

About a decade ago, Lieu reconnected with Karlsson, who had moved on from the Human Genome Project to work on animal genetics and was engaging with pet owners in her research. Karlsson bemoaned how hard it was to get the large-scale genomic data needed to advance scientific understanding, and something clicked. What if they could tap into Lieu’s expertise with big data platforms and her experience starting nonprofits to collect genomic data from pets as a proxy for understanding complex diseases and behavior? “We talked a lot about how we [might] enable a platform that could help us collect the right kinds of data at the level that’s necessary in order to do the kinds of science that the world needs,” Lieu says. That might be hard with humans, but “everybody wants to talk about their dogs and cats, right?”

Thus Darwin’s Ark was born. Initially it focused on dogs, and using its data, Karlsson and a team from the Broad and elsewhere were able to demonstrate that just 9% of variations in behavior can be predicted by breed—much less than people might think. Lieu hopes the finding will help certain much-­maligned breeds such as pit bulls, which tend to be adopted at lower rates and sometimes are even put down on the basis of faulty assumptions about their behavior. 

But the work Darwin’s Ark is doing isn’t just helping pets—it could benefit humans, too, as researchers increasingly probe the links between human and animal cancers. 

Black labrador puppy and a Boston terrier
Darwin’s Ark initially focused on collecting DNA data from dogs; the nonprofit also invites humans to take part in surveys on such things as how their pets play and socialize.
GETTY IMAGES

“We were involved in some early dog work in cancer, where we collaborated with another group to understand whether or not you could take a blood draw and figure out whether or not the animal has cancer,” says Lieu. “Turns out you could. And in the last couple of years, an FDA-approved test has been available for humans to figure out whether or not you have lung cancer. All that work started in dogs, so you could start to see the power of doing something in animals that then impacts human health.”

Darwin’s Ark broadened its focus to cats in 2024, and while it’s too soon for any results, even the research methods are proving interesting. The usual way to extract DNA from a living animal is by swabbing the inside of a cheek. Dogs don’t mind the process, but cats are not as amenable to having things stuck in their mouths. Nor do cats appreciate having hairs plucked out with their follicles, another potential source of DNA for sequencing. So Chad Nusbaum, PhD ’91, another Human Genome Project colleague that Lieu recruited, helped the Darwin’s Ark team figure out how to effectively extract DNA from fur or hair that has been shed—a big breakthrough for the field. (This means, in practice, that cats’ DNA is collected by brushing their fur. Now the cats “not only don’t mind sample collection—some of them really enjoy it,” Nusbaum says with a laugh.) 

That’s good for cats, but it could also have far-reaching implications in the world of conservation, where obtaining DNA from endangered or sensitive animals via blood or skin samples can be prohibitively difficult or distressing to the animals. Being able to rely instead on a few strands of naturally shed hair could unlock new frontiers for conservationists working with sensitive species.

The knowledge that progress on such crucial issues could come from inside or outside the organization was what led Lieu and Karlsson to structure Darwin’s Ark as a nonprofit and make its data available for free to researchers outside commercial settings. While it already periodically shares its sequence data in various public repositories, those repositories are managed by different entities, making it more difficult for scientists to use the information. So researchers must often write in, explain what they’re trying to do, and put in a custom request.Darwin’s Ark just got a grant that will allow it to begin building a public portal for the data, making it far easier for researchers to access, match, and use.

“Our hope is that we would be able to create a data set that scientists around the world would be able to leverage to elucidate whatever it is that they’re doing,” Lieu says. “Whether you’re a cancer scientist or a neurological scientist or an immunology-focused scientist, any number of complex disease areas could be helped by having very massive data sets.”


For Lieu, Darwin’s Ark is but the latest line in a long and wide-ranging résumé that includes stints at Amazon and NASA. “The thread that ties it all together is big data,” she says.

After living and breathing data in her work on the Human Genome Project, Lieu tackled a very different big data challenge at Amazon on a team that collected data on warehouse fulfillment. Drawing on her biological sciences background, she developed an evolutionary algorithm for outbound logistics that made it possible—without constantly analyzing the data—to dynamically optimize storage and dramatically lower fulfillment costs.  The founder or cofounder of at least a dozen ventures to date, she built on her experience at Amazon with her most recent startup, a logistics company called AirTerra that helps e-commerce retailers streamline delivery by bringing together highly fragmented last-mile shipping providers under one umbrella. Officially founded in 2020, it quickly achieved unicorn status and was acquired by the fashion company American Eagle Outfitters in 2021. While Lieu chalks some of that success up to luck (“You start a shipping and logistics organization in the pandemic—of course you’re going to get acquired”), her cofounder Brent Beabout, MBA ’02, is quick to point to the skill and work ethic that made her “luck” possible. 

Besides being “highly collaborative” and “super knowledgeable,” Lieu gave her all in a way that set her apart, according to Beabout. “She is a passionate person,” he says. “I’ve never seen a person that worked as many hours as Charlie did … I don’t think she ever slept.”

Lieu jokes that she’s in a “midlife crisis” as she sorts out what to do next, because there’s so much she could do. So she’s looking for the “biggest thing” she can do for the world.

Though Lieu has made out well as an entrepreneur, she grew up “well below the poverty line.” Both those experiences shaped the kind of investor she’s become: one who is distinctly interested in helping other entrepreneurs confront barriers. “I wanted to look back on all the obstacles that I had faced coming up,” she says. “Not just as a woman, not just as a person of color, but [also] the economic barriers of not having the network, not being able to access other people who have been successful, not even understanding the basics of financial markets.” To that end, she’s spent much of her career trying to give back through mentorship and direct investment in ventures started by founders from underrepresented backgrounds.

Her passion for social causes doesn’t end there. Lieu has also volunteered with her local trails association and served on a wide range of boards near her home in the Seattle area. In the mid 2010s, an outdoors-focused organization where she was on the board came under fire for having given a platform to a rock climber who had been credibly accused of sexual assault. As a climber herself, Lieu had assumed that sexual assault wasn’t a major problem in those circles—but, being data-minded as always, she came up with a plan to conduct a survey about the issue while protecting respondents’ anonymity.

Lieu on a hike with her goddaughter, Mary Ann Seek (center), and Darwin’s Ark cofounder Elinor Karlsson.
COURTESY OF CHARLIE LIEU

That survey grew into SafeOutside, a grassroots movement focusing on combating sexual assault in the outdoors community. After parsing the data—and realizing just how widespread the problem was—Lieu spent years interviewing individual survivors about their experiences and eventually partnered with Alpinist magazine to publicize and share the results of the survey. Beyond sparking much-needed conversation, the initiative turned out to be instrumental in getting Charlie Barrett, a once-celebrated professional climber, put behind bars. He is now serving a life sentence after his conviction for repeatedly sexually assaulting a female climber at Yosemite National Park. Three additional women testified at his trial that they had also been sexually assaulted by Barrett.

Katie Ives, the editor Lieu worked with on the project at Alpinist, remembers being impressed by Lieu’s “sense of caring and compassion and her determination to amplify the voices of people who have been marginalized by history or by the climbing community.” She describes Lieu as a person “whose life is very much driven by a sense of ethical purpose.”

At first Lieu worked on SafeOutside quietly; fearing professional repercussions, she asked that her name be omitted or mentioned only in passing in reporting on the project. She reasoned that the subject made people uncomfortable. But in early 2025, she began to discuss it more openly. “That’s actually part of the problem, right? People who have status refusing to talk about an issue that’s so prevalent,” she says. Today, she’s more outspoken than ever and wants to encourage others with any kind of social clout to speak up as well.

In some ways, this reevaluation of her approach reflects the crossroads at which Lieu now finds herself. After years of starting new ventures, serving on seemingly endless boards, and typically getting by on three to five hours of sleep a night, she’s finally taking a step back: saying no to board positions, pressing pause on new venture ideas, and even hiring a team that allows her to pass off more of her Darwin’s Ark work to other people. Lieu has always liked—and is especially good at—shepherding new companies through the startup and early growth stages. So she’s been recruiting a new leadership team to take over the reins as Darwin’s Ark prepares for its next phase of growth. She’s aiming to step away from day-to-day operations this spring and will remain a board member and active advisor—and jokes that she’s in a sort of “midlife crisis” at age 50 as she tries to sort out what to do next, because there’s so much she could do.

In this new chapter, Lieu says, she’s trying to identify the “biggest thing” she can be doing for the world in this moment. For now, she’s leaning toward working on economic inequality and reproductive health access, which she says are inextricably tied not only to each other but also to ecology and sustainability.

If her past endeavors—from promoting the well-being of cats to pursuing cures for cancer—are any indication, any cause she devotes herself to will be lucky to have her. “She’s just somebody who gets things done,” says Ives.  

And all the data on Lieu says that’s not going to change.

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Eni makes Calao South discovery offshore Ivory Coast

@import url(‘https://fonts.googleapis.com/css2?family=Inter:[email protected]&display=swap’); a { color: var(–color-primary-main); } .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: Inter; } body { line-height: 150%; letter-spacing: 0.025em; font-family: Inter; } button, .ebm-button-wrapper { font-family: Inter; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style { font-size: 0.75rem; opacity: .6; } #onetrust-pc-sdk [id*=btn-handler], #onetrust-pc-sdk [class*=btn-handler] { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-policy a, #onetrust-pc-sdk a, #ot-pc-content a { color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-pc-sdk .ot-active-menu { border-color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-accept-btn-handler, #onetrust-banner-sdk #onetrust-reject-all-handler, #onetrust-consent-sdk #onetrust-pc-btn-handler.cookie-setting-link { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-consent-sdk .onetrust-pc-btn-handler { color: #c19a06 !important; border-color: #c19a06 !important; } Eni SPA discovered gas and condensate in the Murene South-1X exploration well in Block CI-501, Ivory Coast. The well is the first exploration in the block and was drilled by the Saipem Santorini drilling ship about 8 km southwest of the Murene-1X discovery well in adjacent CI-205 block. The well was drilled to about 5,000 m TD in 2,200 m of water. Extensive data acquisition confirmed a main hydrocarbon bearing interval in high-quality Cenomanian sands with a gross thickness of about 50 m with excellent petrophysical properties, the operator said. Murene South-1X will undergo a full conventional drill stem test (DST) to assess the production capacity of this discovery, named Calao South. Calao South confirms the potential of the Calao channel complex that also includes the Calao discovery. It is the second largest discovery in the country after Baleine, with estimated volumes of up to 5.0 tcf of gas and 450 million bbl of condensate (about 1.4 billion bbl of oil). Eni is operator of Block CI-501 (90%) with partner Petroci Holding (10%).

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CFEnergía to supply natural gas to low-carbon methanol plant in Mexico

CFEnergía, a subsidiary of Mexico’s Federal Electricity Commission (CFE), has agreed to supply natural gas to Transition Industries LLC for its Pacifico Mexinol project near Topolobampo, Sinaloa, Mexico. Under the signed agreement, which enables the start of Pacifico Mexinol’s construction phase, CFEnergía will supply about 160 MMcfd of natural gas for an unspecified timeframe noted as “long term,” Transition Industries said in a release Feb. 16. The natural gas—to be sourced from the US and supplied at market prices via existing infrastructure—will be used as “critical input for Mexinol’s production of ultra-low carbon methanol,” the company said. Pacifico Mexinol The $3.3-billion Mexinol project, when it begins operations in late 2029 to early 2030, is expected to be the world’s largest ultra-low carbon chemicals plant with production of about 1.8 million tonnes of blue methanol and 350,000 tonnes of green methanol annually. Supply is aimed at markets in Asia, including Japan, while also boosting the development of the domestic market and the Mexican chemical industry. Mitsubishi Gas Chemical has committed to purchasing about 1 million tonnes/year of methanol from the project, about 50% of the project’s planned production. Transition Industries is jointly developing Pacifico Mexinol with the International Finance Corporation (IFC), a member of the World Bank Group. Last year, the company signed a contingent engineering, procurement, and construction (EPC) contract with the consortium of Samsung E&A Co., Ltd., Grupo Samsung E&A Mexico SA de CV, and Techint Engineering and Construction for the project. MAIRE group’s technology division NextChem, through its subsidiary KT TECH SpA, also signed a basic engineering, critical and proprietary equipment supply agreement with Samsung E&A in connection with its proprietary NX AdWinMethanol®Zero technology supply to the project.

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North Atlantic’s Gravenchon refinery scheduled for major turnaround

Canada-based North Atlantic Refining Ltd. France-based subsidiary North Atlantic France SAS is undertaking planned maintenance in March at its North Atlantic Energies-operated 230,000-b/d Notre-Dame-de-Gravenchon refinery in Port-Jérôme-sur-Seine, Normandy. Scheduled to begin on Mar. 3 with the phased shutdown of unidentified units at the refinery, the upcoming turnaround will involve thorough inspections of associated equipment designed for continuous operation, as well as unspecified works to improve energy efficiency, environmental performance, and overall competitiveness of the site, North Atlantic Energies said on Feb. 16. Part of the operator’s routine maintenance program aimed at meeting regulatory requirements to ensure the safety, compliance, and long-term performance of the refinery, North Atlantic Energies said the scheduled turnaround will not interrupt product supplies to customers during the shutdown period. While the company confirmed the phased shutdown of units slated for work during the maintenance event would last for several days, the operator did not reveal a definitive timeline for the entire duration of the turnaround. Further details regarding specific works to be carried out during the major maintenance event were not revealed. The upcoming turnaround will be the first to be executed under North Atlantic Group’s ownership, which completed its purchase of the formerly majority-owned ExxonMobil Corp. refinery and associated petrochemical assets at the site in November 2025.

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Azule Energy starts Ndungu full field production offshore Angola

Azule Energy has started full field production from Ndungu, part of the Agogo Integrated West Hub Project (IWH) in the western area of Block 15/06, offshore Angola. Ndungo full field lies about 10 km from the NGOMA FPSO in a water depth of around 1,100 m and comprises seven production wells and four injection wells, with an expected production peak of 60,000 b/d of oil. The National Agency for Petroleum, Gas and Biofuels (ANPG) and Azule Energy noted the full field start-up with first oil of three production wells. The phased integration of IWH, with Ndungu full field producing first via N’goma FPSO and later via Agogo FPSO, is expected to reach a peak output of about 175,000 b/d across the two fields. The fields have combined estimated reserves of about 450 million bbl. The Agogo IWH project is operated by Azule Energy with a 36.84% stake alongside partners Sonangol E&P (36.84%) and Sinopec International (26.32%).   

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Nvidia lines up partners to boost security for industrial operations

Akamai extends its micro-segmentation and zero-trust security platform Guardicore to run on Nvidia BlueField GPUs The integration offloads user-configurable security processes from the host system to the Nvidia BlueField DPU and enables zero-trust segmentation without requiring software agents on fragile or legacy systems, according to Akamai. Organizations can implement this hardware-isolated, “agentless” security approach to help align with regulatory requirements and lower their risk profile for cyber insurance. “It delivers deep, out-of-band visibility across systems, networks, and applications without disrupting operations. Security policies can be enforced in real time and are capable of creating a strong protective boundary around critical operational systems. The result is trusted insight into operational activity and improved overall cyber resilience,” according to Akamai. Forescout works with Nvidia to bring zero-trust technology to OT networks Forescout applies network segmentation to contain lateral movement and enforce zero-trust controls. The technology would be further integrated into partnership work already being done by the two companies. By running Forescout’s on-premises sensor directly on the Nvidia BlueField, part of Nvidia Cybersecurity AI platform, customers can offload intensive computing tasks, such as deep packet inspections. This speeds up data processing, enhances asset intelligence, and improves real-time monitoring, providing security teams with the insights needed to stay ahead of emerging threats, according to Forescout. Palo Alto to demo Prisma AIRS AI Runtime Security on Nvidia BlueField DPU Palo Alto Networks recently partnered with Nvidia to run its Prisma AI-powered Radio Security(AIRs) package on the Nvidia BlueField DPU and will show off the technology at the conference. The technology is part of the Nvidia Enterprise AI Factory validated design and can offer real-time security protection for industrial network settings. “Prisma AIRS AI Runtime Security delivers deep visibility into industrial traffic and continuous monitoring for abnormal behavior. By running these security services on Nvidia BlueField, inspection

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Raising the temp on liquid cooling

IBM isn’t the only one. “We’ve been doing liquid cooling since 2012 on our supercomputers,” says Scott Tease, vice president and general manager of AI and high-performance computing at Lenovo’s infrastructure solutions group. “And we’ve been improving it ever since—we’re now on the sixth generation of that technology.” And the liquid Lenovo uses in its Neptune liquid cooling solution is warm water. Or, more precisely, hot water: 45 degrees Celsius. And when the water leaves the servers, it’s even hotter, Tease says. “I don’t have to chill that water, even if I’m in a hot climate,” he says. Even at high temperatures, the water still provides enough cooling to the chips that it has real value. “Generally, a data center will use evaporation to chill water down,” Tease adds. “Since we don’t have to chill the water, we don’t have to use evaporation. That’s huge amounts of savings on the water. For us, it’s almost like a perfect solution. It delivers the highest performance possible, the highest density possible, the lowest power consumption. So, it’s the most sustainable solution possible.” So, how is the water cooled down? It gets piped up to the roof, Tease says, where there are giant radiators with massive amounts of surface area. The heat radiates away, and then all the water flows right back to the servers again. Though not always. The hot water can also be used to, say, heat campus or community swimming pools. “We have data centers in the Nordics who are giving the heat to the local communities’ water systems,” Tease says.

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Vertiv’s AI Infrastructure Surge: Record Orders, Liquid Cooling Expansion, and Grid-Scale Power Reflect Data Center Growth

2) “Units of compute”: OneCore and SmartRun On the earnings call, Albertazzi highlighted Vertiv OneCore, an end-to-end data center solution designed to accelerate “time to token,” scaling in 12.5 MW building blocks; and Vertiv SmartRun, a prefabricated white space infrastructure solution aimed at rapidly accelerating fit-out and readiness. He pointed to collaborations (including Hut 8 and Compass Data Centers) as proof points of adoption, emphasizing that SmartRun can stand alone or plug into OneCore. 3) Cooling evolution: hybrid thermal chains and the “trim cooler” Asked how cooling architectures may change (amid industry chatter about warmer-temperature operations and shifting mixes of chillers, CDUs, and other components) Albertazzi leaned into complexity as a feature, not a bug. He argued heat rejection doesn’t disappear, even if some GPU loads can run at higher temperatures. Instead, the future looks hybrid, with mixed loads and resiliency requirements forcing more nuanced thermal chains. Vertiv’s strategic product anchor here is its “trim cooler” concept: a chiller optimized for higher-temperature operation while retaining flexibility for lower-temperature requirements in the same facility, maximizing free cooling where climate and design allow. And importantly, Albertazzi dismissed the idea that CDUs are going away: “We are pretty sure that CDUs in various shapes and forms are a long-term element of the thermal chain.” 4) Edge densification: CoolPhase Ceiling + CoolPhase Row (Feb. 3) Vertiv also expanded its thermal portfolio for edge and small IT environments with the: Vertiv CoolPhase Ceiling (launching Q2 2026): ceiling-mounted, 3.5 kW to 28 kW, designed to preserve floor space. Vertiv CoolPhase Row (available now in North America) for row-based cooling up to 30 kW (300 mm width) or 40 kW (600 mm width). Vertiv Director of Edge Thermal Michal Podmaka tied the products directly to AI-driven edge densification and management consistency, saying the new systems “integrate seamlessly

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Execution, Power, and Public Trust: Rich Miller on 2026’s Data Center Reality and Why He Built Data Center Richness

DCF founder Rich Miller has spent much of his career explaining how the data center industry works. Now, with his latest venture, Data Center Richness, he’s also examining how the industry learns. That thread provided the opening for the latest episode of The DCF Show Podcast, where Miller joined present Data Center Frontier Editor in Chief Matt Vincent and Senior Editor David Chernicoff for a wide-ranging discussion that ultimately landed on a simple conclusion: after two years of unprecedented AI-driven announcements, 2026 will be the year reality asserts itself. Projects will either get built, or they won’t. Power will either materialize, or it won’t. Communities will either accept data center expansion – or they’ll stop it. In other words, the industry is entering its execution phase. Why Data Center Richness Matters Now Miller launched Data Center Richness as both a podcast and a Substack publication, an effort to experiment with formats and better understand how professionals now consume industry information. Podcasts have become a primary way many practitioners follow the business, while YouTube’s discovery advantages increasingly make video versions essential. At the same time, Miller remains committed to written analysis, using Substack as a venue for deeper dives and format experimentation. One example is his weekly newsletter distilling key industry developments into just a handful of essential links rather than overwhelming readers with volume. The approach reflects a broader recognition: the pace of change has accelerated so much that clarity matters more than quantity. The topic of how people learn about data centers isn’t separate from the industry’s trajectory; it’s becoming part of it. Public perception, regulatory scrutiny, and investor expectations are now shaped by how stories are told as much as by how facilities are built. That context sets the stage for the conversation’s core theme. Execution Defines 2026 After

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Utah’s 4 GW AI Campus Tests the Limits of Speed-to-Power

Back in September 2025, we examined an ambitious proposal from infrastructure developer Joule Capital Partners – often branding the effort as “Joule Power” – in partnership with Caterpillar. The concept is straightforward but consequential: acquire a vast rural tract in Millard County, Utah, and pair an AI-focused data center campus with large-scale, on-site “behind-the-meter” generation to bypass the interconnection queues, transmission constraints, and substation bottlenecks slowing projects nationwide. The appeal is clear: speed-to-power and greater control over delivery timelines. But that speed shifts the project’s risk profile. Instead of navigating traditional utility procurement, the development begins to resemble a distributed power plant subject to industrial permitting, fuel supply logistics, air emissions scrutiny, noise controls, and groundwater governance. These are issues communities typically associate with generation facilities, not hyperscale data centers. Our earlier coverage focused on the technical and strategic logic of pairing compute with on-site generation. Now the story has evolved. Community opposition is emerging as a material variable that could influence schedule and scope. Although groundbreaking was held in November 2025, final site plans and key conditional use permits remain pending at the time of publication. What Is Actually Being Proposed? Public records from Millard County show Joule pursuing a zone change for approximately 4,000 acres (about 6.25 square miles), converting agricultural land near 11000 N McCornick Road to Heavy Industrial use. At a July 2025 public meeting, residents raised familiar concerns that surface when a rural landscape is targeted for hyperscale development: labor influx and housing strain, water use, traffic, dust and wildfire risk, wildlife disruption, and the broader loss of farmland and local character. What has proven less clear is the precise scale and sequencing of the buildout. Local reporting describes an initial phase of six data center buildings, each supported by a substantial fleet of Caterpillar

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From Lab to Gigawatt: CoreWeave’s ARENA and the AI Validation Imperative

The Production Readiness Gap AI teams continue to confront a familiar challenge: moving from experimentation to predictable production performance. Models that train successfully on small clusters or sandbox environments often behave very differently when deployed at scale. Performance characteristics shift. Data pipelines strain under sustained load. Cost assumptions unravel. Synthetic benchmarks and reduced test sets rarely capture the complex interactions between compute, storage, networking, and orchestration that define real-world AI systems. The result can be an expensive “Day One” surprise:  unexpected infrastructure costs, bottlenecks across distributed components, and delays that ripple across product timelines. CoreWeave’s view is that benchmarking and production launch can no longer be treated as separate phases. Instead, validation must occur in environments that replicate the architectural, operational, and economic realities of live deployment. ARENA is designed around that premise. The platform allows customers to run full workloads on CoreWeave’s production-grade GPU infrastructure, using standardized compute stacks, network configurations, data paths, and service integrations that mirror actual deployment environments. Rather than approximating production behavior, the goal is to observe it directly. Key capabilities include: Running real workloads on GPU clusters that match production configurations. Benchmarking both performance and cost under realistic operational conditions. Diagnosing bottlenecks and scaling behavior across compute, storage, and networking layers. Leveraging standardized observability tools and guided engineering support. CoreWeave positions ARENA as an alternative to traditional demo or sandbox environments; one informed by its own experience operating large-scale AI infrastructure. By validating workloads under production conditions early in the lifecycle, teams gain empirical insight into performance dynamics and cost curves before committing capital and operational resources. Why Production-Scale Validation Has Become Strategic The demand for environments like ARENA reflects how fundamentally AI workloads have changed. Several structural shifts are driving the need for production-scale validation: Continuous, Multi-Layered Workloads AI systems are no longer

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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