Guanbo Wang, PhD

Dr. Wang is an Assistant Professor at The Dartmouth Institute for Health Policy and Clinical Practice and in the Department of Biomedical Data Science at the Geisel School of Medicine at Dartmouth. He is also a faculty member in the Graduate Program in Quantitative Biomedical Sciences and the Dartmouth Cancer Center, and a research collaborator at the CAUSALab in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health. Trained as a biostatistician, he develops statistical and epidemiological methods to address real-world challenges in medical and clinical research.

His research focuses on advancing methodologies in causal inference—emphasizing minimal causal assumptions—alongside data integration (including transportability, generalizability, trial augmentation, and causally interpretable meta-analysis), personalized medicine (heterogeneous treatment effects), trial design, survival analysis, and predictive modeling. He draws on a range of theoretical foundations, including semiparametric statistics, stochastic processes, optimization, and machine learning. His work is motivated by and applied to pressing health issues such as cardiovascular disease, cancer, pediatric and mental health conditions, using data from multi-center clinical trials, electronic health records, insurance claims, and their integration.

Dr. Wang earned his Ph.D. in Biostatistics from McGill University, with a research visit to the Department of Population Medicine at Harvard Medical School. He subsequently completed a postdoctoral fellowship at the CAUSALab at Harvard.

Learn more at his website.