MIA Talks Search

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    Semester:
    Spring 2026
Spring 2026
Date Speaker Title
Jun 3
  • Washington University School of Medicine

Talk title coming soon Spring 2026
May 27
  • Eric and Wendy Schmidt Center, Ó³»­´«Ã½

  • Harvard Medical School, Hacohen Lab, Pinello Lab, Ó³»­´«Ã½

  • Raghavan Lab, Dana-Farber Cancer Institute/Ó³»­´«Ã½

  • Iqbal Lab, Ó³»­´«Ã½

    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
  • Boston University

Parameter representations outperform single-cell foundation models on downstream tasks Spring 2026
May 13
  • Institute for Computational Biomedicine, Heidelberg University

Learning, Predicting, and Interpreting Omics Data with Biologically Informed Models Spring 2026
May 6
  • Harvard Medical School

Primer Spring 2026
May 6
  • Harvard Medical School

A global microbiome axis underlying susceptibility to immune-mediated diseases Spring 2026
Apr 22
  • Brown University

Mapping phenotypes to spatial transcriptomics reveals disease-associated microenvironments with PhAST Spring 2026
Apr 22
  • Brown University

Resolving Tissue Maps: Statistical and Deep Learning Methods for Integrative Spatial Omics Across Samples, Sections, and Modalities Spring 2026
Apr 15
  • Harvard University

AI agents in biomedical research Spring 2026
Apr 15
  • Harvard University

Evaluating the autonomous and copilot limitations of AI agents for biological discovery Spring 2026
Apr 1
  • Arc Institute

STATE: Predicting cellular responses to perturbation across diverse contexts Spring 2026
Apr 1
  • Arc Institute

Engineering cell state using artificial intelligence Spring 2026
Mar 18
  • Johns Hopkins University

Understanding Spatial Transcriptomics and Evaluating Probe Accuracy in 10x Genomics Xenium Technology Spring 2026
Mar 18
  • Johns Hopkins University

Comparative Spatial Transcriptomics Analysis Spring 2026
Mar 4
  • Duke University

Physics-constrained models for microbial community inference Spring 2026
Mar 4
  • Duke University

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
  • University of British Columbia

Characterizing homology-induced data leakage and memorization in genome-trained sequence models Spring 2026
Feb 4
  • University of British Columbia

More robust data, models, and benchmarks to solve the genome regulation code Spring 2026