Eric Ma just defended his doctoral thesis in the Department of Biological Engineering at MIT in April 2017, where he developed a scalable algorithm for finding shuffled influenza viruses. He recently was an Insight Health Data Fellow in the Boston Summer 2017 session, where he developed Flu Forecaster, a project aiming to forecast influenza sequence evolution using deep learning. Eric has delivered talks and tutorials at the PyCon, SciPy and PyData conferences, covering applied topics including graph theory and Bayesian inference.
Tuesday 3:05 PM–4:00 PM in Central Park East 6501a (6th fl)