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Peter Lee Profile
Peter Lee

@peteratmsr

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Following
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4K

President, Microsoft Research

Redmond, WA
Joined July 2010
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@MSFTResearch
Microsoft Research
4 days
The wait is over! Microsoft Research is sharing Skala, the new exchange-correlation functional, marking a major milestone in the accuracy/cost trade-off in DFT. Help us learn from your testing so we can improve. Available on Azure AI Foundry and GitHub. https://t.co/XbOp9pC7ew
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@paolagorigiorgi
Paola Gori-Giorgi
4 days
Skala is now available to everyone! Why are we releasing it? Because we’re not just aiming to publish a cool paper — we’re on a mission to bring DFT to chemical accuracy using deep learning. And to make real progress, we need the community’s feedback. #compchem
@MSFTResearch
Microsoft Research
4 days
The wait is over! Microsoft Research is sharing Skala, the new exchange-correlation functional, marking a major milestone in the accuracy/cost trade-off in DFT. Help us learn from your testing so we can improve. Available on Azure AI Foundry and GitHub. https://t.co/XbOp9pC7ew
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@xie_tian
Tian Xie
3 days
🚨We are hiring! 🚨 Want to join a highly talented, collaborative team and build the next frontier model for materials design? Apply to the following roles and join our materials team at @MSFTResearch AI for Science. Location can be Cambridge UK or Amsterdam NL or Berlin DE.
@MSFTResearch
Microsoft Research
9 months
Microsoft researchers introduce MatterGen, a model that can discover new materials tailored to specific needs—like efficient solar cells or CO2 recycling—advancing progress beyond trial-and-error experiments. https://t.co/z9yOaV7VGo
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@MSFTResearch
Microsoft Research
28 days
AI is impacting healthcare—from medical training to drug discovery. Learn how things are changing from those using, studying, and developing healthcare AI in “The AI Revolution in Medicine, Revisited” with host @peteratmsr. All episodes available now: https://t.co/XEkdeOuMK6
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@peteratmsr
Peter Lee
1 month
Congratulations, @xie_tian! You're such a great colleague, doing incredible work.
@xie_tian
Tian Xie
1 month
I am honored to join this year’s MIT technology review’s innovators under 35 list. Amazing to see the impact of generative AI on materials design being recognized in this prestigious list. Credits to the whole MatterGen team for making this happen.
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@peteratmsr
Peter Lee
1 month
A computer that's 100x faster and 100x more energy efficient for solving difficult optimization problems? Today in @Nature, we @MSFTResearch describe a working analog optical computer, in collaboration with @Barclays. Looking also to other domains, eg, healthcare.
@satyanadella
Satya Nadella
1 month
Our breakthrough work on an analog optical computer points to new ways to solve complex real-world problems with much greater efficiency. Super to see this published today in @Nature.
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@peteratmsr
Peter Lee
2 months
I learned a lot about what is going on today with AI in the real world of medicine, in these in-depth conversations with so many great people. Fun, also, to reconnect with @goldbergcarey and @zakkohane. Key insights for healthcare, sure, but also for any other industry sector.
@MSFTResearch
Microsoft Research
2 months
For the finale of “The AI Revolution in Medicine, Revisited,” Peter Lee, Carey Goldberg, and Dr. Zak Kohane compare their predictions to insights from the series’ most recent guests, including leaders in AI-driven medicine and doctors in training. https://t.co/d4eEtq2E77
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@satyanadella
Satya Nadella
2 months
Exciting work by our team, representing a real step forward in understanding the protein dynamics that power biological function.
@ScienceMagazine
Science Magazine
2 months
Researchers have developed a #DeepLearning system called BioEmu that rapidly generates diverse protein conformations, enabling fast, accurate insights into protein flexibility and function. Learn more this week in Science: https://t.co/Pe15hm9F52
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@ScienceMagazine
Science Magazine
2 months
Researchers have developed a #DeepLearning system called BioEmu that rapidly generates diverse protein conformations, enabling fast, accurate insights into protein flexibility and function. Learn more this week in Science: https://t.co/Pe15hm9F52
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@peteratmsr
Peter Lee
2 months
Featured on the cover of @ScienceMagazine, BioEmu @MSFTResearch, a deep learning system that rapidly generates diverse protein conformations for accurate insights into protein function. Illustration: N. Burgess/Science; Data: S. Lewis et al., https://t.co/V0fRBX4EXc.
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@peteratmsr
Peter Lee
2 months
I always learn so much when I have a chance to interact with @GFarrugiaMD @MayoClinic, and so having him on the podcast was a big treat. Real insights into the leading edge of AI at this storied health system, by its leader.
@GFarrugiaMD
Gianrico Farrugia
2 months
On a recent podcast, I joined Peter Lee to discuss AI's transformative impact on healthcare. Mayo Clinic's decentralized AI approach empowers our teams to innovate, accelerate progress, and improve patient care. https://t.co/SXLlxvnzkO @peteratmsr
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@xie_tian
Tian Xie
2 months
Want to join our efforts @MSFTResearch AI for Science to push the frontier of AI for materials? We are the team behind MatterGen & MatterSim and we have 2 job openings! Each can be in Amsterdam, NL, Berlin, DE, or Cambridge, UK. It is a rare opportunity to join a highly talented,
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@satyanadella
Satya Nadella
3 months
Today we’re introducing Copilot Mode in Edge, our first step in reinventing the browser for the AI age. My favorite feature is multi-tab RAG. You can use Copilot to analyze your open tabs, like I do here with papers our team has published in @Nature journals over the last year.
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@avapamini
Ava Amini
3 months
thrilled to share The Dayhoff Atlas of protein language data and models 🚀 protein biology in the age of AI! https://t.co/4wP9kNRUoM we built + open source the largest natural protein dataset, w/ 3.3 billion seqs & a first-in-class dataset of structure-based synthetic proteins
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@KevinKaichuang
Kevin K. Yang 楊凱筌
3 months
In 1965, Margaret Dayhoff published the Atlas of Protein Sequence and Structure, which collated the 65 proteins whose amino acid sequences were then known. Inspired by that Atlas, today we are releasing the Dayhoff Atlas of protein sequence data and protein language models.
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@peteratmsr
Peter Lee
3 months
I think this might be my favorite episode of this podcast series. Talking to current med students about their thoughts and actions on AI in medicine is enlightening. It's impressive how they are really leaning in and learning together.
@MSFTResearch
Microsoft Research
3 months
In Episode 9 of "The AI Revolution in Medicine, Revisited," resident physician and venture capitalist Morgan Cheatham and med student Daniel Chen explore generative AI's impact on medical training, from classroom learning to clinical practice. https://t.co/W9pieButQD
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@MSFTResearch
Microsoft Research
3 months
In Episode 9 of "The AI Revolution in Medicine, Revisited," resident physician and venture capitalist Morgan Cheatham and med student Daniel Chen explore generative AI's impact on medical training, from classroom learning to clinical practice. https://t.co/W9pieButQD
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@peteratmsr
Peter Lee
3 months
So pleased to launch @MSFTResearch Asia – Singapore today. This takes our longstanding collaborations to the next level and gives new opportunities to advance AI to benefit humanity. We're grateful for the engagement of so many great people and orgs here.
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news.microsoft.com
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@satyanadella
Satya Nadella
3 months
Big milestone for the future of quantum computing. We are delivering the world's first operational deployment of a Level 2 quantum computer, powered by our stack and in partnership with @Atom_Computing. Congrats to EIFO, @novonordiskfond, and QuNorth. https://t.co/vR3TbB4i4i
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novonordiskfonden.dk
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@JoshCMandel
Josh Mandel, MD
3 months
Which healthcare regulations should we kill? Yesterday, the comment period closed on the Agency for Healthcare Research and Quality RFI titled "Ensuring Lawful Regulation and Unleashing Innovation to Make America Healthy Again." The RFI asked stakeholders to pinpoint specific
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