Data-Driven Decision Making: The Structure, Conduct, Review, and Evaluation of Research

Roee Gutman is Assistant Professor in the Department of Biostatistics at Brown University. Roee’s areas of interest and research are Bayesian data analysis, missing data, matching, causal inference and bioinformatics. His current research projects focus on developing techniques to make more accurate, or at least defensible, “causal inferences” from epidemiological studies. In layman’s terms: he is interested in finding out, for example, if drinking alcohol actually makes someone live longer and is not just associated with living longer.

Roee received his PhD from the Department of Statistics at Harvard University. His advisor was Professor Donald Rubin and he was a member of Professor Jun Liu’s lab. His PhD thesis is entitled: “Topics in Missing Data and Causality.” Roee received a BS with Honors in Statistics, Operations Research and Computer Science from Tel Aviv University (TAU) in 1999. He went on to receive a MS in Applied Statistics with Special Honors under the supervision of Professor Yossef Hochberg from TAU.


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