Summary
Joel Levin is a doctoral candidate and behavioral scientist based in Cambridge, MA, with eight years of experience studying expertise, human+AI collaboration, metascience, and quantitative methods. At the University of Pittsburgh and UPMC he combines rigorous statistical research with teaching organizational behavior, translating complex methods into actionable insights for practitioners and students. His background spans academia and applied roles—from business banking and community-facing instruction to managing safety and training programs—bringing a pragmatic, systems-level perspective to research questions. A former visiting scholar at Harvard, he focuses on how experts learn and interact with AI, blending experimental and computational approaches that emphasize reproducibility and measurement. Notably, his profile reflects both deep methodological training and hands-on instructional experience, positioning him to bridge research, policy, and real-world implementation.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Organizational Behavior, Quantitative Methods, Doctor of Philosophy (Ph.D.), Organizational Behavior, Quantitative Methods at University of Pittsburgh - Joseph M. Katz Graduate School of Business
Visiting, Visiting at Harvard University
Drums, Percussion, Music Theory, Drums, Percussion, Music Theory at Pittsburgh High School for the Creative and Performing Arts
Bachelor’s Degree, Economics, Political Science, Bachelor’s Degree, Economics, Political Science at University of Pittsburgh