Peter Lee
@peteratmsr
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President, Microsoft Research
Redmond, WA
Joined July 2010
Fara-7B is our first agentic small language model for computer use. This experimental model includes robust safety measures to aid responsible deployment. Despite its size, Fara-7B holds its own against larger, more resource-intensive agentic systems: https://t.co/lT9m0uH4gQ
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New from @MSFTResearch: A native agentic SLM, Fara‑7B, designed for computer use. It automates everyday web tasks with frontier performance while keeping your information private. Now on Microsoft Foundry and Hugging Face. https://t.co/4VkdRshGup
microsoft.com
Fara-7B is our first agentic small language model for computer use. This experimental model includes robust safety measures to aid responsible deployment. Despite its size, Fara-7B holds its own...
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I love cars, and so converting classic cars to electric drive is just tons of fun, and it's an interesting design, engineering, and learning experience. I enjoyed this conversation with Kurt Schlosser at @geekwire, talking about a project with the folks at Moment Motor Company.
Out of Office: Microsoft Research’s Peter Lee is a car geek revved up by converting classics to electric
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In responsible AI, a key challenge is to find ways for AI to incorporate and reflect the culturally nuanced lived experiences of all people and communities. Developing such globally equitable generative AI is the goal of Project Gecko and the new MMCTAgent.
AI tools often perform poorly in non-Western languages and lack cultural context that’s crucial for many populations. Project Gecko uses small language models to deliver vital content that extends AI’s benefits to serve the global majority: https://t.co/K00g5MdQlc
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There's been a very noticeable uptick in interest from folks (especially young people!) wondering what it's like to be at a place like @MSFTResearch at the leading edge of research. Here's a nice piece that gives an inside look at a day in the life of researchers across Microsoft
Microsoft researchers are driving trends and tackling major challenges in the midst of the ever-changing AI era. Check out Trista Chen, Flavio Griggio, Ahmed Awadallah, Jina Suh, and Cecily Morrison's conversations with Forward Future, a daily AI newsletter, to learn more about
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AI agents are transforming digital marketplaces, mediating discovery and transactions between consumers and businesses. The new Magentic Marketplace provides an open-source, extensible simulation environment for studying different agentic market designs: https://t.co/UET0smOaJ8
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Announcing the 2026 Microsoft Research Fellowship, a program that creates opportunities for faculty, PhD students, and postdocs to collaborate with Microsoft Research on open research challenges that advance science and benefit society. Submit proposals by Dec 2:
microsoft.com
The Microsoft Research Fellowship creates opportunities for academic scholars (faculty, PhD students, and postdocs) to collaborate with Microsoft Research on open research challenges that advance...
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Amazing work on polymers by AI for Science @MSFTResearch colleagues!
MLFFs 🤝 Polymers — SimPoly works! Our team at @MSFTResearch AI for Science is proud to present SimPoly (SIM-puh-lee) — a deep learning solution for polymer simulation. Polymeric materials are foundational to modern life—found in everything from the clothes we wear and the food
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Congrats to my colleagues Gregor, Lixin, and the entire team for the announcement of SimPoly! I cannot remember how many times I’ve been asked for a polymer MLFF from industrial partners, since there is no great solution yet. Code/data will be released soon. Check it out!
MLFFs 🤝 Polymers — SimPoly works! Our team at @MSFTResearch AI for Science is proud to present SimPoly (SIM-puh-lee) — a deep learning solution for polymer simulation. Polymeric materials are foundational to modern life—found in everything from the clothes we wear and the food
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No question that nurses are the heartbeat of healthcare. And today we’re introducing the first commercially available ambient experience built for nursing workflows, so they can focus on what matters most: caring for patients.
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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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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
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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🚨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.
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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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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Congratulations, @xie_tian! You're such a great colleague, doing incredible work.
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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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.
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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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.
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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Exciting work by our team, representing a real step forward in understanding the protein dynamics that power biological function.
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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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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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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