Professor Otgonbayar Uuye

Dr. Otgonbayar Uuye is Head of AI at AND Global, with experience spanning mathematics, artificial intelligence and education. He serves as Executive Director and a board member of the Mongolian Mathematical Olympiad Committee, and as Chairman of the Board of the Mongolian Society for Development and Future of AI. He is also a board member of the Mongolian Mathematical Society, which he led as President from 2016 to 2019.

He earned his Ph.D. in Mathematics from Pennsylvania State University in 2008, following bachelor’s and master’s degrees in Mathematics at the University of Tokyo. His previous appointments include Director of the Institute of Mathematics and Associate Professor at the National University of Mongolia, as well as research positions at the University of Copenhagen and Cardiff University. His activities include Deep Learning Ulaanbaatar, Weekly Problems and the AND Mathematics Advanced Study Program. In 2016, he received the TWAS Prize for Young Scientists in Developing Countries.

For decades, mathematicians have leveraged computers as powerful calculators to push the boundaries of the field. This partnership has deep historical roots, from the EDSAC-2 computations that birthed the million-dollar Birch and Swinnerton-Dyer conjecture, to the brute-force computational triumph of the 1976 four-color theorem. As technology evolved, so did the nature of this collaboration. In 2007, AI took a prominent step forward when researchers weakly solved the game of checkers, proving a draw under perfect play. Now, we are standing at the edge of a new paradigm. Rather than merely crunching numbers, modern artificial intelligence is becoming an active partner in mathematical discovery. Recent months have seen an unprecedented surge in AI-assisted breakthroughs, from discovering new bounds in combinatorics to advancing the formal verification of complex theorems. This talk will explore the rapid, cutting-edge advancements of AI in mathematics and examine what this shifting landscape means for the future of human discovery.