Models, Inference and Algorithms: Lightning Talks on Machine Learning and Computational Biology

Watch a series of six lightning talks from the Models, Inference and Algorithms seminar at the Broad Institute of MIT and Harvard, featuring cutting-edge research presentations on diverse topics in computational biology and machine learning. Explore machine learning applications for dementia prediction using biobank data, discover Bayesian optimization techniques in generative model spaces, learn about protein compartmentalization mechanisms, understand new approaches combining AlphaFold with flow matching for protein ensemble generation, examine Dirichlet Flow Matching for DNA sequence generation, and delve into deep learning methods for navigating chemical spaces. Each concise presentation is delivered by leading researchers, including postdoctoral fellows from Harvard Medical School, MIT, and the Broad Institute, as well as MIT Ph.D. candidates, offering a comprehensive overview of current developments in computational biology and machine learning applications in life sciences.