Rate My Professor Mark Himmelstein

Mark Himmelstein is an Assistant Professor of Psychology at the Georgia Institute of Technology, specializing in psychometrics and quantitative psychology. He earned his Ph.D. in Psychometrics and Quantitative Psychology from Fordham University in 2023 under the advisement of Dr. David Budescu, an M.S. in Clinical Research Methodology from the same institution in 2018, and a B.A. in Human Development from SUNY Empire State College in 2014. His academic career includes roles such as Academic Affiliate at the Forecasting Research Institute since 2023, Alumni Dissertation Fellow and Distinguished Research Fellow at Fordham University in 2023 and 2022-2023, respectively, Anne Anastasi Research Fellow in 2022, and various teaching and research assistant positions at Fordham from 2017 to 2022.

Himmelstein directs the Subjective Uncertainty and Belief Lab, where his research explores the psychology and mathematics of uncertainty, including how individuals form and act on subjective beliefs, factors enabling effective intuitive statistical reasoning, judgmental forecasting, advice taking, belief updating, Bayesian statistics, elicitation methods, psychological measurement, and missing data techniques. His contributions have earned major awards such as the Psychometric Society Annual Dissertation Award in 2025, Anne Anastasi Dissertation Award from APA Division 5 in 2024, Smithgall Watts Early Career Scholar Award from Georgia Tech in 2024, Decision Analysis Society Publication Award Finalist in 2023 for Himmelstein et al. (2021), and European Association for Decision Making de Finetti Prize in 2021 for the same publication. Key publications include 'The wisdom of many in few: Finding individuals who are as wise as the crowd' (Journal of Experimental Psychology: General, 2023), 'Preference for human or algorithmic forecasting advice does not predict if and how it is used' (Journal of Behavioral Decision Making, 2023), 'Decline, adopt or compromise? A dual hurdle model for advice utilization' (Journal of Mathematical Psychology, 2022), 'Forecasting forecaster accuracy: Contributions of past performance and individual differences' (Judgment and Decision Making, 2021), and book chapters in Judgment in Predictive Analytics (2023). He teaches Psychological Statistics, receiving Instructor Honor Roll recognition in 2025 and 2024. Himmelstein's work impacts predictive analytics, behavioral decision making, and quantitative methods in psychology.