Lab profile
About EWSC
The Eric and Wendy Schmidt Center enables interdisciplinary research at the intersection of machine learning and biology to improve human health. The center develops theoretical, computational, and algorithmic paradigms together with new experimental datasets to elucidate the programs of life, making biological questions key drivers for foundational advances in machine learning and vice versa.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- From genes to cell states: controlling cellular programsDeveloping computational paradigms for integrating multi-modal data, guiding experimental design through active learning, and identifying regulatory networks to control cell state transitions.
- From cells to tissues: controlling cellular networksDeveloping algorithms to characterize conditional probabilities of cell states given their neighbors and understand how perturbations affect tissue architecture.
- Cancer Immunotherapy Machine Learning ChallengeA competition to develop methods predicting effects of gene perturbations on T cell subpopulations to enhance cancer immunotherapy.
- Autoimmune Disease Machine Learning ChallengeA spatial ML competition testing algorithms for disease progression prediction from pathology images using IBD samples.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- A structure-informed deep learning framework for modeling TCR-peptide-HLA interactions.bioRxiv : the preprint server for biology · 2026
- Partially shared multi-modal embedding learns holistic representation of cell state.Nature computational science · 2026
- Efficiently quantifying dependence in massive scientific datasets using InterDependence Scores.Proceedings of the National Academy of Sciences of the United States of America · 2025
Active NIH grants
- Causal Representation Learning for the Spatial Analysis of Transcriptomic and Imaging Data in Tissue ContextsCaroline Uhler · OD · FY 2025
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- Toward Experiment-Guided AlphaFoldNewsJun 29, 2026 · ericandwendyschmidtcenter.org
- The next unit of science: Is the scientific paper due to be replaced?NewsMay 11, 2026 · ericandwendyschmidtcenter.org
- Schmidt Center Winter 2026 NewsletterNewsFeb 25, 2026 · ericandwendyschmidtcenter.org
- AI to help researchers see the bigger picture in cell biologyNewsFeb 25, 2026 · ericandwendyschmidtcenter.org
- Friday Fellow Feature: Sebastiano Cultrera di MontesanoSpotlightFeb 20, 2026 · ericandwendyschmidtcenter.org
- A method for designing neural networks optimally suited for certain tasksNewsMar 30, 2023 · ericandwendyschmidtcenter.org
- How AI could revolutionize biology — and vice versaNewsApr 8, 2021 · axios.com
- Broad Institute launches $300 million Schmidt Center to merge AI, biology and a slew of industry partnershipsAnnouncementMar 26, 2021 · fiercebiotech.com
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.