Dr. Risi Kondor

Biography

Risi Kondor is a professor at the University of Chicago, where he focuses on fundamental methodological developments in machine learning, particularly in applications to physics and chemistry. His research primarily revolves around computational harmonic analysis and representation theory. He is responsible for foundational work on equivariant neural networks and has engaged in the development of high-performance, open-source AI software using Python and C++. His work also delves into AI safety, ensuring that advancements in artificial intelligence are utilized responsibly. He has contributed to numerous high-impact publications, exploring topics such as equivariant neural networks, higher-order graph neural networks, and the intersection of machine learning with quantum physics. Throughout his academic career, Risi has been involved in mentoring various graduate students and collaborating with multidisciplinary groups. In addition to his role at the university, he is the founder and CEO of Intertwiner Inc. Since June 2017, he has been active in several industry engagements, including a relationship with Amazon Web Services and prior work at the Flatiron Institute under the Simons Foundation. Risi is recognized for his contributions to theoretical and applied aspects of machine learning and continues to influence this rapidly evolving field.

Research Interests

Experience