Our @neuripsconf.bsky.social work led by YunyangLI “E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products” was selected as a spotlight (with score ranked ~17 / 21k submissions). Poster: Thur Dec 4, Exhibit Hall CDE #5512 Online: openreview.net/forum?id=ls5...

Our new PNAS study bridges histology and genomics. Using deep learning and imageQTL analysis, we show how tissue images reflect gene expression and aging — making histology more interpretable with AI. By RanMeng, W. Zhu, C. Cameron, P. Ni, X. Zhou, T. Ulammandakh, and @markgerstein.bsky.social

📚 Yale students have returned to campus, so time for a roster meeting! We again made our Nobel Prize predictions (given how accurate we were last year 😉) 🥇Our top prediction is Habener & Knudsen (GLP-1) with 28.5% of the vote! 🥈 In second is Rothberg & David Klenerman (NGS)

Curious how your favorite gene changes when and how during a biological process? Want to dive into the kinetics of chromatin + gene expression? Meet chronODE, our new tool to model multi-omic time-series with logistic equations + ML! doi.org/10.1038/s414...

🧠 At our recent Gerstein Lab roster meeting, we took a detour into… personality science! Turns out we’re INT Central 🧪 📌 70% Introverts 📌 83% Intuitives 📌 57% Thinkers Analysts (INTP, INTJ) dominate, far more than the U.S. baseline. #MBTI #INTP #INTJ

1/4 🚀 New #ICLR2025 SPOTLIGHT ALERT Gerstein Lab presents “Enhancing the Scalability & Applicability of Kohn-Sham Hamiltonians”—led by YunyangLI & Z Xia & L Huang & J Zhang & @markgerstein.bsky.social . Joint work with @msftresearch.bsky.social .

New @biophysj.bsky.social paper by Alan Ianeselli, Joe Howard and @markgerstein.bsky.social . A Molecular Dynamics algorithm to rapidly compute protein folding pathways and identify folding intermediates for targeted drug discovery! doi.org/10.1016/j.bp...

Our new paper describes the iDASH-winning method for efficient blockchain storage of biomedical data. We cut gas costs by 60% and sped up retrieval 500x with low-level Solidity optimization. By Eric Ni, Elizabeth Knight, @markgerstein.bsky.social doi.org/10.1016/j.jb...

New paper by Gaoyuan Wang, Jonathan Warrell, Prashant Emani and @markgerstein.bsky.social ! Check out our new model QVAE, a fully quantum variational autoencoder with latent regularization: journals.aps.org/pra/abstract...

🚨We have an immediate postdoc opening for US nationals (citizens/green-card holders). Needs to be filled within 6 months. Lots of fun topics (e.g. biosensors, brain genomics, AI for bio, &c). If interested, see jobs.gersteinlab.org

Excited to share our new paper in @cellcellpress.bsky.social on digital phenotyping from wearable biosensors to characterize psychiatric disorders and identify genetic associations, led by @jasonjliu.bsky.social and @beaborsari.bsky.social @markgerstein.bsky.social: doi.org/10.1016/j.ce...

New @plosone.org paper by Xiao Zhou, Sanchita Kedia, Ran Meng, and @markgerstein.bsky.social. Our deep learning framework analyzes fMRI scans for early Alzheimer's Disease detection, achieving 92.8% accuracy with a focus on model interpretability: t.co/Ro5WzyJUyZ