معرفی
Sasa Zorc is an Assistant Professor in the Data Analytics and Decision Sciences area at the Darden School of Business, University of Virginia. He holds a B.Sc. and M.Sc. from the University of Zagreb, an MBA from Cotrugli Business School Zagreb, and an M.Sc. and Ph.D. in Decision Sciences from INSEAD Singapore.
His research focuses on incentives in multi-agent systems, particularly in healthcare and decentralized matching markets. He employs rigorous methodological frameworks including stochastic dynamic games, search theory, mechanism design, and data-driven simulations to analyze complex decision-making environments.
Zorc's recent publications address topics like delegated search, exploding offers in matching markets, and antimalarial drug access challenges. His work integrates mathematical modeling with real-world applications to improve policy design and market efficiency.
In teaching, he delivers the full-time core course Decision Analysis to first-year students, emphasizing analytical rigor and practical application.
