MIA Lightning Talks on Computational Biology and Gene Expression Analysis (2025)

This video features a series of lightning talks from the Models, Inference and Algorithms (MIA) seminar held at the Broad Institute of MIT and Harvard on March 5, 2025. Explore four concise presentations on computational biology topics: Francesca Rissom discusses methods for comparing protein language models through embedding space analysis; Viki Schuster presents techniques for interpreting gene expression models using sparse autoencoders; Phillip Nicol explains approaches for identifying spatially variable genes by projecting to morphologically relevant coordinates; and Uthsav Chitra demonstrates mapping the topography of spatial gene expression with interpretable deep learning methods. Each talk provides insights into cutting-edge computational approaches for biological data analysis from researchers affiliated with the Broad Institute and Harvard School of Public Health.