Current Environment:

Researcher | Research Overview

Williams runs the Clarity- and Virtue-guided Algorithms Laboratory (Cava Lab) in the Computational Health Informatics Program at Boston Children's Hospital and Harvard Medical School. His research focuses on developing multi-objective learning methods and using them to explain the principles underlying biomedical processes. His lab uses these methods to learn predictive models from electronic health records (EHRs) that are both interpretable to clinicians and fair to the population on which they are deployed. His long-term goals are to positively impact human health by developing methods that are flexible enough to automate entire computational workflows underlying scientific discovery and medicine.

Researcher | Research Background

William received his PhD from UMass Amherst with a focus on interpretable modeling of dynamical systems. Prior to joining CHIP, he was a post-doctoral fellow and research associate in the Institute for Biomedical Informatics at the University of Pennsylvania.

Researcher | Publications