Lecture | April 4 | 6-7:30 p.m. | Calvin Laboratory (Simons Institute for the Theory of Computing), Auditorium
Po-Shen Loh, Carnegie Mellon University
Simons Institute for the Theory of Computing
The scale of global societal problems looks daunting. One person, or even a small team, is minuscule relative to the number of people who need help. For example, since ChatGPT has exploded onto the scene, our children's future employment prospects (and current educational experience, with ChatGPT-powered cheating) are in existential danger. There is an area close to mathematics, however, which devises solutions in which problems solve themselves even through self-serving human behavior: game theory.
Po-Shen Loh is a math professor, researcher, and educator who transitioned to devise new solutions for large-scale real-world problems. He will talk about his experience going between the ivory tower of academia and the practicality of the real world, where he ultimately innovated fundamentally new approaches to pandemic control (https://novid.org) and scalable advanced live math education (https://live.poshenloh.com).
He will also discuss educational strategies that build relevant skills to survive this new era of Generative AI (e.g. ChatGPT). He has been working extensively on that problem, and draws from experience teaching across the entire spectrum, from underprivileged schools to the International Math Olympiad.
Theoretically Speaking is a lecture series highlighting exciting advances in theoretical computer science for a broad general audience. Events are free and open to the public, with first-come, first-served seating. No special background is assumed.
Alumni, Faculty, Friends of the University, General Public, Staff, Students - Graduate, Students - Prospective, Students - Undergraduate, Cal Parents
All Audiences
Free
light refreshments
Ashley Hasson, ahasson@berkeley.edu, 510-664-7953
Calvin Laboratory (Simons Institute for the Theory of Computing)
On Campus
Auditorium
Po-Shen Loh
Carnegie Mellon University