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Ilya Shpitser is an Associate Professor at Johns Hopkins University in the Department of Computer Science, specializing in causal semiparametric inference, missing data, and algorithmic fairness. His research addresses challenges arising from various datasets, including social networks, electronic medical records, and criminal justice databases. Shpitser's objective is to provide principled methods for detecting and addressing disparities due to algorithmic bias, understanding causal pathways, and making causal inferences in complex observational settings. His work has led to significant applications in health care, particularly analyzing adherence in HIV patients and developing predictive models utilizing oncology data. He has contributed to the community through various invited presentations and by serving on editorial and advisory boards. Shpitser's academic journey includes degrees in computer science and mathematics from the University of California, Berkeley, and a Ph.D. from UCLA, with postdoctoral fellowships at both UCLA and Harvard University.
University of Southampton • UK
Taught statistics at the university before joining Johns Hopkins.
Department of Pathology - PhD in Pathobiology. GRE is not required.