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Chen applies causal inference and machine learning tools to healthcare data. He is also a member of the Observational Health Data Sciences and Informatics (OHDSI) community, making use of and contributing to its developed methodologies.

Previously, Chen was a research staff member in the Health Informatics Department at IBM’s Haifa Research Lab. There, his work focused on applying machine learning algorithms to various types of healthcare data, studying the dynamics of microbial communities, and estimating the efficacy of medications from observational healthcare data using causal inference tools.

As a postdoctoral research associate at the Fred Hutchinson Cancer Research Center in Seattle, Washington, Chen studied macromolecular interactions at the atomic level; and, in the Department of Computer Science at Ben-Gurion University of the Negev, in Israel, he devised methods to account for entity non-uniform representation in structural repositories. Much earlier, he was an algorithm developer and software engineer at two small biomed companies.

Chen received a PhD in computer science and structural biology, an MSc (cum laude) in computer science, and a BSc (cum laude) in computer science and life science, all from the Hebrew University of Jerusalem.