Profile
Noah Haber is an interdisciplinary scientist working at the crossroads of causal inference, infectious disease, economics, epidemiology, and meta-science. Dr. Haber’s research integrates two interconnected lines of quantitative research: evaluating the strength of causal inference across the pathway from publication to decision-making, and global HIV/AIDS measurement and evaluation. His methodological roots in health economics and econometrics were developed largely during his doctoral years at the Harvard TH Chan School of Public Health, with additional interdisciplinary studies and collaboration in epidemiology during his prior postdoctoral fellowship at the University of North Carolina and meta-science work at the Meta-Research Innovation Center at Stanford University (METRICS).
Dr. Haber’s causal inference meta-science work focuses on developing methods and systems to more systematically review and understand strength of causal inference and study design across health research, and bridging conceptual gaps between epidemiology and econometrics.