My current research projects focus on developing techniques to make more accurate, or at least defensible, "causal inferences" from epidemiological studies. In layman's terms: I am interested in finding out, for example, if drinking alcohol actually makes someone live longer and is not just associated with living longer.

Biography

Roee Gutman is an 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.

Roee received his Ph.D. 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 Ph.D. 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.

Awards

2010 - JSM Student Award, Section on Health Policy Statistics, American Statistical Association
2007 - Harvard University Derek Bok Center, Certificate of Distinction in Teaching of Undergraduates

Affiliations

2007–present American Statistical Association
2009–present Institution of Mathematical Statistics
2012-present International Society for Bayesian Analysis

Courses Taught

• Bayesian Statistical Methods (PHP2530)