معرفی
Roee Gutman is a tenured Professor of Biostatistics at Brown University's School of Public Health. His research focuses on Bayesian data analysis, causal inference, record linkage, and missing data techniques, with applications to health policy, geriatrics, and medical decision-making.
- Ph.D. in Statistics, Harvard University (2011)
- Advisor: Professor Donald Rubin, member of Professor Jun Liu's Lab
- BS (1999) and MS (2004) in Statistics/Optimization from Tel Aviv University
His methodological work advances Bayesian causal inference and privacy-preserving data linkage, enabling valid comparisons of non-randomized interventions through multiple imputation and propensity score modeling. Applications include:
- Linking HIV+ prisoner records with clinical data
- Comparing opioid vs. NSAID effectiveness
- Estimating effects of erythropoietin-stimulating agents
- Nursing home bed-hold policy analysis
Recent publications emphasize AI-driven healthcare monitoring (2024), DASH diet adherence interventions (2023), and Bayesian singular value decomposition (2023). Awards include:
- 2023 Best Paper Award, Statistics in Biopharmaceutical Research
- 2022 Methodology Award, ISPOR
- 2022 ASA/NSF/BLS Senior Research Fellow
He collaborates with researchers across health services, geriatrics, and epidemiology, with funding from PCORI, NSF, and NIA. Teaching includes courses on Bayesian Methods and Statistical Inference.
