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Marwin Segler Profile
Marwin Segler

@marwinsegler

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Following
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Statuses
2K

Dadx2, Machine Learning, {Org, Med, Comp} Chem, AI-assisted Scientific Discovery & Creativity, Music. @ELLISforEurope Scholar. @MSFTResearch AI for Science

UK
Joined November 2015
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@marwinsegler
Marwin Segler
11 months
New chemical synthesis ML models: - modern Transformer & GNN to featurize chemical reactions - showing how to combine multiple models in a principled way - new insights in where the models shine - bonus: find the quirky named reaction! Feedback welcome! link in next tweet:
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@xie_tian
Tian Xie
16 days
Last call. We will close the application to the following 2 jobs on 2025/11/03. Senior Researcher in Deep Learning: https://t.co/r7Q2vx1Son Senior Research Engineer on Data:
@xie_tian
Tian Xie
1 month
🚨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.
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@Tkaraletsos
Theofanis Karaletsos
21 days
Multiple ML/AI roles available at https://t.co/jgDolM2K8Z focused on building atomistic foundation simulation models. If you’re in the market and interested in AI-infra\research engineering, or GenAI-research roles reinventing our understanding of matter and reasoning about
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achira.ai
Building foundation simulation models for drug discovery
@achira_ai
achira-ai
22 days
Achira is growing! We’re looking for talented software engineers, ML research engineers, and AI/ML scientists to join our team in building foundation simulation models to power the future of drug discovery. Apply at
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@xie_tian
Tian Xie
28 days
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!
@gncsimm
Gregor Simm
28 days
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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@gncsimm
Gregor Simm
28 days
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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@zany_cloud
Claudio Zeni
1 month
Join our team in Cambridge (UK), Berlin (DE), or Amsterdam (NL)!
@xie_tian
Tian Xie
1 month
🚨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.
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@jmhernandez233
Jose Miguel Hernández-Lobato
1 month
Looking forward to this workshop on ML4molecules at the ELLIS unconference (followed by EurIPS). Please submit your abstracts! The deadline will be extended to 15 October 2025.
@gklambauer
Günter Klambauer
2 months
ELLIS ML4Molecules workshop 2025 ** Call for papers** is out: https://t.co/xjHTyBGAZ5
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@erichorvitz
Eric Horvitz
1 month
Promise & risk of AI in biology: We share in @ScienceMagazine our efforts to identify & mitigate DNA screening vulnerabilities. Grateful to a fabulous team of collaborators, across organizations.
lnkd.in
This link will take you to a page that’s not on LinkedIn
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@marwinsegler
Marwin Segler
1 month
Sorry guys but when you pronounce it Feynman-Kak steering it is somewhat funny 😜
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@avapamini
Ava Amini
1 month
Applications for @MSFTResearch undergrad research internships for rising juniors and seniors are due Monday Oct 6! Apply to work with us in BioML 👉 https://t.co/QYjsdyEpRQ w/ @KevinKaichuang, @alexijielu, @lorin_crawford, Kristen Severson, @ntenenz, @SarahAlamdari, and more!
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@brtrentini
Bruno Trentini
2 months
Call for Papers –Machine Learning for Simulations in Biology & Chemistry (Simbiochem) Workshop @ EurIPS 2025 📍 Copenhagen, Denmark (Dec 6th or 7th) 📅 Submission Deadline: 10th October, 2025 👉 Submit your paper: https://t.co/9ag80dBjHm Machine learning has transformed
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@FrankNoeBerlin
Frank Noe
2 months
Postdoc position available in the BioEmu team at @MSFTResearch AI for Science - Berlin DE or Cambridge UK. Looking for candidates with backgrounds in #MachineLearning #AI Biophysics or Bioinformatics https://t.co/DwGuTO1qlf
@FrankNoeBerlin
Frank Noe
4 months
BioEmu now published in @ScienceMagazine !! What is BioEmu? Check out this video: https://t.co/PAj96iKvR7
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@marwinsegler
Marwin Segler
3 months
AI may disrupt the pop music industry (is generating formulaic pop really the bottleneck though?), but I highly doubt any real music lover will want to go to a slop AI avatar concert. AI as an intentional creative tool is something different though, and here to stay.
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@peteratmsr
Peter Lee
3 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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@marwinsegler
Marwin Segler
3 months
Preference for different models might also be related to “model sound”, similar to how a musician might prefer a Stratocaster or a Moog over a different, more modern guitar/synth.
@sama
Sam Altman
3 months
If you have been following the GPT-5 rollout, one thing you might be noticing is how much of an attachment some people have to specific AI models. It feels different and stronger than the kinds of attachment people have had to previous kinds of technology (and so suddenly
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@FrankNoeBerlin
Frank Noe
4 months
After a 4-year journey, we are super happy to see this paper out in @NatureComms - @ElezKatarina et al: High-throughput molecular dynamics + active @machinelearning enable efficient identification of an experimentally-validated broad coronavirus inhibitor. https://t.co/Q3ioRNKnJP
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nature.com
Nature Communications - Approaches making virtual and experimental screening more resource-efficient are vital for identifying effective inhibitors from a vast pool of potential drugs but remain...
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@ginaelnesr
Gina El Nesr
4 months
@sokrypton is this how small molecules bind? 😼
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@zavaindar
Zavain Dar
4 months
DIMENSION is growing our research team! join @SimonDBarnett & @Bauer_LeSavage as we build the premier investment firm at the interface of tech & life sciences on the planet (pictured here taking notes in Arrakis). Worm spotting skills optional .. DMs open
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@marwinsegler
Marwin Segler
5 months
Chemical accuracy with Deep Learning based DFT - #compchem
@vdbergrianne
Rianne van den Berg
5 months
🚀 After two+ years of intense research, we’re thrilled to introduce Skala — a scalable deep learning density functional that hits chemical accuracy on atomization energies and matches hybrid-level accuracy on main group chemistry — all at the cost of semi-local DFT. ⚛️🔥🧪🧬
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