Risi Kondor’s current research interests lie in the areas of machine learning, statistical learning theory, non-commutative harmonic analysis, computational group theory, harmonic analysis on graphs and networks, theoretical computer science, and applications in computational physics and biology. He received his PhD in computer science from Columbia University in 2007, his MS in knowledge discovery and data mining from Carnegie Mellon University in 2002, and his BA in mathematics from the University of Cambridge in 1995. He also holds a diploma in computational fluid dynamics from the Von Karman Institute for Fluid Dynamics and a diploma in physics from Eötvös Loránd University in Budapest.
- Algorithmic Spectral Graph Theory, Fall 2014. Visiting Scientist.