April 24, 2026
2:00 PM - 5:00 PM
The George H. Heilmeier Faculty Award Lecture was established by Penn Engineering to recognize excellence in the scholarly activities of its faculty. Named in honor of George H. Heilmeier, the award celebrates his extraordinary research career, leadership in technical innovation and public service, and steadfast support of Penn Engineering. The 2025-2026 Heilmeier Award and Lecture will be delivered by Aaron Roth, Henry Salvatori Professor of Computer and Cognitive Science at Penn Engineering, who has been recognized for fundamental contributions to formalizing, quantifying, and enforcing data privacy and algorithmic fairness.
Talk Title: Calibration in the Age of AI: From Prediction to Decision Making to AI Assisted Research
How much should users trust AI predictions, and how should they use their predictions when making important decisions? This talk will discuss calibration and how it mediates the interface between probability, prediction and decision making. We will also touch on how AI itself is rapidly changing the nature of mathematical research — some of the results we will discuss are not just about AI, but derived with AI assistance.
About Aaron Roth
Aaron Roth is the Henry Salvatori Professor of Computer and Cognitive Science, with a secondary appointment in Statistics at the Wharton School. Affiliated with the Warren Center for Network and Data Science, Roth is also an Amazon Scholar. His research focuses on the algorithmic foundations of data privacy, algorithmic fairness, game theory, learning theory and machine learning.