#Bioinformatics professor, interested in #DataScience, with photography, triathlons & books as hobbies

Yale
Joined December 2010
Posting my talk tomorrow at MoML 2026 at @MIT (organized by @AIHealthMIT lectures.gersteinlab.org/sum… New slides on World Modeling for drug dev. & its integration with @daifengwang's drug repurposing
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Interested to learn about Yale’s #PhD program in Computational Biology and Biomedical Informatics (CBB)? Join our virtual information session for interested applicants on Monday, October 19, 2026, 8–9PM ET. 👉Register at: yalesurvey.ca1.qualtrics.com… @YaleCBB @YALEBBS
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Mark Gerstein retweeted
BREAKING NEWS The 2026 #NobelPrize in Physiology or Medicine has been awarded to Karl Deisseroth, Peter Hegemann and Georg Nagel “for their discoveries concerning light-gated ion channels and optogenetics.”
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Mark Gerstein retweeted
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2026 #NobelPrize in Chemistry to Henri B. Kagan and Kenso Soai “for the discovery of non-linear effects and autocatalysis in asymmetric organic synthesis.”
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Mark Gerstein retweeted
New paper in Protein Science! Meet DreamFold: a World Model that generates protein folding pathways and reveals druggable intermediate states: onlinelibrary.wiley.com/doi/…
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Mark Gerstein retweeted
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2026 #NobelPrize in Physics to Francis Halzen “for decisive contributions to the IceCube Neutrino Observatory and the discovery of high-energy neutrinos of astrophysical origin.”
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We're excited to hear from @YaleMed's @MarkGerstein on Wednesday, Oct. 14 for #MoML2026! <20 tickets left! 🎟️ Register now before tickets are sold out: moml.mit.edu/
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Mark Gerstein retweeted
We are excited to announce a tenure-track faculty position in Computational Biophysics and Biochemistry, exploring the intricate molecular and cellular processes and the complex interactions of their macromolecular components! Apply now at apply.interfolio.com/193444.
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Posting a short talk tomorrow for the #QuantumWorldCongress on using Quantum Computing to achieve Biomedical Privacy lectures.gersteinlab.org/sum… #QWC2026 @QWCevent
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Did my annual triathlon today. Brisk swim; slow bike; fast walk... Overjoyed just to make it to the finish line without any drama. Lots of pictures of a great "Triathlon Sunrise." (More stuff at linkstream2.gerstein.info/ta…)
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Posting my talk today at Oxford CS on AI in Structural Bioinformatics lectures.gersteinlab.org/sum… Modelling Flexibility, Disorder & Interactions. Lots of new slides on World Models for protein folding
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Posting my talk today at University of Montpellier on the changing challenges in genomics lectures.gersteinlab.org/sum… Lots of slides on variant impact models
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Excited to see our work featured by @YaleMed! We introduce MedicalAgentsBench, a benchmark for evaluating how multi-agent LLMs compare with reasoning models—and how they can complement each other in clinical decision-making: medicine.yale.edu/news-artic…
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Posting my talk today at @CRGenomica in Barcelona (hosted by @beaborsari & @GuigoLab) lectures.gersteinlab.org/sum… Lots of slides on the AI Scientist from @XiangruTang
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Posting my talk today at @UniBarcelona on the 25th anniversary of the human genome (hosted by @beaborsari) lectures.gersteinlab.org/sum… Lots of new slides on variant impact models & pseudogene epigenetics across tissues
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Posting my talk today for tutorial IP2 at @iscb's #ISMB2026: Large Language Models & Agentic AI for Biomedical Informatics (organized by @XiangruTang) lectures.gersteinlab.org/sum… Has lots of slides on case studies for LLMs in brain genomics & comparisons with more classic approaches
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Thought this "re-imagining" of the declaration goes well with a recent @NewYorker piece on the "committee-style" writing of the piece (newyorker.com/magazine/2026/…). Personally, I always find "(re)writing groups" rather taxing.
Love this re-imagining of America’s founding using Docs, Gmail, Calendar and more from @GoogleWorkspace. Really puts the history in version history :)
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(1/n) Ever wonder why scaling up parameters is effective in LLMs or how to make a small model perform better? Our @icmlconf paper on "Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models" @ChenLiu_1996 and @XingzhiSun, may shed some geometric insight Paper: arxiv.org/pdf/2602.00217 Code: github.com/KrishnaswamyLab/L…
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During our recent lab roster meeting, we asked about everyone's AI chatbot preferences (n=69, multi-select): 🥇 Claude — 49 (71%) 🥈 ChatGPT — 43 (62%) 🥉 Gemini — 14 (20%) Takeaway: Mostly Claude + ChatGPT co-usage, with Gemini as a distant third and a long tail of niche tools.
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