Michelle Dai specializes in the application of graph learning to biomedicine, with a particular focus on drug repurposing. Her research leverages graph neural networks and geometric deep learning to uncover novel therapeutic possibilities. Michelle holds an M.S. in Computational Biology from the Harvard School of Public Health and has previously worked on mathematical modeling of Alzheimer’s disease progression.
