Dr. Ilya Shpitser

Biography

Ilya Shpitser is an Associate Professor at Johns Hopkins University in the Department of Computer Science. His research focuses on causal semiparametric inference, missing data, and algorithmic fairness, addressing complexities arising from various data types including social networks, electronic medical records, and longitudinal studies. His work aims to provide principled methods for detecting and addressing disparities and biases in algorithmic models, facilitating accurate causal inferences from complex observational data. Shpitser's recent applications include evaluating adherence to treatment in HIV patients and understanding the effects of antiretroviral therapy on birth defects. He has been recognized for his contributions to the field, receiving the Causality Statistics Education Award and organizing significant workshops on causal inference methods. With a background that includes a BA in Computer Science and Mathematics from UC Berkeley and both an MS and PhD from UCLA, he has previously held postdoctoral positions at UCLA and Harvard University, and served as a lecturer at the University of Southampton. Shpitser has authored numerous papers and serves on editorial and advisory boards, contributing to the development of evidence-based research methods in his areas of expertise.

Research Interests

Experience

Awards