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    Spring 2026
Spring 2026
Date Speaker Title
Jun 3
Molecular determinants of disordered protein function Spring 2026
Jun 3
Generative deep learning for intrinsically disordered protein regions Spring 2026
May 27
  • Eric and Wendy Schmidt Center, Broad Institute

    Talk title: Real-Time Digital Twins for Sepsis Control

  • Harvard Medical School, Hacohen Lab, Pinello Lab, Broad Institute

    Talk title: Generative models for multi-cell-type CRE generation in immune contexts

  • Raghavan Lab, Dana-Farber Cancer Institute/Broad Institute

    Talk title: Computational Modeling Cancer Cell States

  • Iqbal Lab, Broad Institute

    Talk title: Exploring cryptic binding sites in observable proteome using Protein language model

  • Statistics, Harvard University

    Talk title: Distribution-Conditioned Transport

Flash talks Spring 2026
May 20
Parameter representations outperform single-cell foundation models on downstream tasks Spring 2026
May 13
Learning, Predicting, and Interpreting Omics Data with Biologically Informed Models Spring 2026
May 6
Primer Spring 2026
May 6
A global microbiome axis underlying susceptibility to immune-mediated diseases Spring 2026
Apr 22
Mapping phenotypes to spatial transcriptomics reveals disease-associated microenvironments with PhAST Spring 2026
Apr 22
Resolving Tissue Maps: Statistical and Deep Learning Methods for Integrative Spatial Omics Across Samples, Sections, and Modalities Spring 2026
Apr 15
AI agents in biomedical research Spring 2026
Apr 15
Evaluating the autonomous and copilot limitations of AI agents for biological discovery Spring 2026
Apr 1
STATE: Predicting cellular responses to perturbation across diverse contexts Spring 2026
Apr 1
Engineering cell state using artificial intelligence Spring 2026
Mar 18
Understanding Spatial Transcriptomics and Evaluating Probe Accuracy in 10x Genomics Xenium Technology Spring 2026
Mar 18
Comparative Spatial Transcriptomics Analysis Spring 2026
Mar 4
Physics-constrained models for microbial community inference Spring 2026
Mar 4
Predicting and programming microbial communities across scales Spring 2026
Feb 11
  • Harvard T.H. Chan School of Public Health

FlowMap: Geometry-Preserving Embedding of RNA Velocity Spring 2026
Feb 11
  • Harvard T. H. Chan School of Public Health

Modern Nonlinear Embedding Methods Unpacked: Empowering Biological Discoveries with Statistical Insights Spring 2026
Feb 4
Characterizing homology-induced data leakage and memorization in genome-trained sequence models Spring 2026
Spring 2026
Date Speaker Title
Feb 4
More robust data, models, and benchmarks to solve the genome regulation code Spring 2026