Published numerous papers on healthcare spending, the use of machine learning in healthcare, and predictions of drug resistance; contributed to a National Academy report on AI in medicine.
Research Experience
Engaged in multiple research projects such as predicting drug-resistant TB, addressing adversarial attacks in medicine, and has published several related papers.
Background
Research interests include the application of machine learning in medical decision-making, particularly in improving patient outcomes. Specializes in blending cutting-edge machine learning techniques with rigorous statistical methods.
Miscellany
Blogs about topics including the impact of the Orphan Drug Act on drug pricing, conditions for using deep learning, and basic concepts of multilayer perceptrons.