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Resume (English only)
Academic Achievements
The lab has received funding from the National Institutes for Health and the National Science Foundation. Supports transparency in science by making data, code, and related materials publicly available on established file sharing websites.
Research Experience
Conducts research on risky choices, with a particular focus on decisions involving alcohol and addictions. Develops and applies advanced quantitative methods for statistical inference and prediction, including Bayesian cognitive modeling, order-constrained statistical inference, network modeling, and machine learning.
Education
Ph.D. in Quantitative Psychology and M.S. in Mathematics from the University of Illinois at Urbana-Champaign.
Background
Research interests include behavioral decision-making, particularly the development and evaluation of mathematical models for individual and group decision-making. Recent work focuses on how individuals integrate multiple pieces of information when making a decision and the rationality of various decision strategies. Also interested in evaluating the performance of different decision rules within the context of linear models.