Drew Prinster

I’m a third-year Computer Science PhD student at Johns Hopkins University working on trustworthy machine learning for healthcare and other high-stakes settings. I develop methods for reliable uncertainty quantification of black-box machine-learning predictions for practical use cases and study how AI/ML systems can be optimized for human-machine teaming in healthcare. I am advised by Dr. Suchi Saria, and I also work closely with Dr. Anqi Liu and Dr. Chien-Ming Huang.

Previously at Yale University, I completed my B.S. (with distinction) in computer science and mathematics and was a Yale Global Health Scholar. At Yale I contributed to global health volunteering and research with the nonprofit Unite For Sight; to microbiome, mental health, and social-network research with Dr. Nicholas Christakis at the Yale Human Nature Lab; and to statistical testing of metagenome alignments with Dr. Mark Gerstein in the Gerstein Lab.

Contact: drew [at] cs [dot] jhu [dot] edu