Harvard Medical School: Machine Learning in Complex Medical Data

Finale Doshi-Velez is an NSF postdoctoral fellow at the Center for Biomedical Informatics at Harvard Medical School, where her research focuses on developing machine learning techniques to extract patterns in clinical data.  She completed her doctoral work at the Massachusetts Institute of Technology. Her research focuses on data-driven approaches to discovering disease subtypes by applying latent variable analyses to clinical data. She also works on predictive models with time-series data.