The epicenter of AI and health at MIT | Now on BlueSky: https://xitter.twitterapi.xyz/t.co/Sl6P9xLUH5 | Follow us on LinkedIn and Instagram.
Cambridge, MA
Joined November 2019
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Congrats to @AIHealthMIT faculty leads @BarzilayRegina & Jim Collins for being awarded with the Pritzker Prize for AI & Science Research Excellence, which recognizes their groundbreaking work in AI-enabled antibiotic discovery! news.mit.edu/2026/regina-bar…
🌍 Changing the world: @AIHealthMIT faculty lead @BarzilayRegina was recently awarded an honorary doctorate from her alma mater @bengurionu for her groundbreaking work in developing AI models for treating and diagnosing diseases.
ALT Regina Barzilay (center) together with Rector Prof. Yaniv Gelbstein (right) and President Prof. Daniel Haimovitz (left).
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"She is a brilliant and visionary researcher, whose research in the field of artificial intelligence has opened new paths. Her achievements expand the boundaries of knowledge and actually improve the lives of people around the world."
📰: bgu.ac.il/articles/ben-gurio…
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Industry talk #2! Danaher’s Andrey Tovchigrechko talks about how his team used @boltz_bio’s BoltzGen to design beta-zipper mini binder interfaces while using agentic tools to optimize the in silico pass rate in BoltzGen. #MoML2026
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How are industry experts using ML in their research? @ByteDanceSeed_’s @chengyenhsieh presents on Protein Autoregressive Modeling: Taking initiative from the hierarchical nature of proteins, PAR generates backbones by forming a global topology & performing refinements. #MoML2026
Up next, @YaleMed’s @MarkGerstein talks about building world models to predict protein folding pathways 🧬 #MoML2026
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Starting now, @ISTAustria’s Alex Bronstein talks about developing a general inference time optimization framework that can maximize log-likelihood and incorporate external constraints while eliminating dependence on diffusion length and removing initialization bias. #MoML2026
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How can we improve target discovery for better drugs? @omenndarlingbio’s @idmjky talks about how EVOLVEpro demonstrates the usefulness of language models in optimizing protein function. He also introduces MESSI, for immunogenicity aware binder design.
Now hearing from @FU_Berlin’s @CecClementi on the short-sightedness of GNNs and potential solutions. She introduces a framework for efficiently and accurately simulating biomolecular complexes. #MoML2026
Poster Session I is in progress! Top 4 posters will be up all day! Who do you think will win the Best Paper Prize? 👀 #MoML2026
#MoML2026 Top 4: @PaulSharoubeem presents Electro-Prot, 6.7M-parameter encoder-decoder transformer trained on 162,980 APBS calculated fields to predict Poisson-Boltzmann potentials at arbitrary points around a protein!
#MoML2026 Top 4: @Northeastern and @broadinstitute’s Yikun Zhang presents on MolSAGE, a framework that accumulates and and reuses experience across tasks to build state-of-the-art drug models efficiently!
👀 Next up: @pas_saro and @NoahBGetz from @boltz_bio present on their approaches to maximizing performance on structure and affinity prediction in the Boltz model series, and their work on using BoltzMol-1 to identify a target inhibiting DNA damage repair. #MoML2026
How can dynamic biomarkers improve patient care? @cityofhope’s Andrea Bild shares how evolutionary models can transform cancer therapeutics.
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#MoML2026 is underway! #JameelClinic faculty lead @BarzilayRegina opens the conference with a presentation on the state-of-the-art in molecular modeling.
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/
How do you communicate risk to a patient? To kick off #BreastCancerAwarenessMonth, we're excited to share that @Hadassah_Med has started using Mirai in clinical trials to assess breast cancer risk + how women feel about personalized risk assessment, w/ Tanir Allweis @ the helm 🧵
Allweis, who was a '25 Visiting Professor @AIHealthMIT and the current Chair of the Dept of Breast Surgery @Hadassah_Med believes that understanding women's attitudes towards AI-based risk assessment is key to understanding how best to communicate risk to patients. 2/3
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How do you get the right treatment to the right place in the body, and have it work at the right time? @Princeton's @idmjky will be answering this question in his talk at #MoML2026 on Oct. 14!
🎟️ < 25 tickets left and going fast!⚡️ Secure your spot: moml.mit.edu/
