My name is Christian Kroer. I am an Assistant Professor of Industrial Engineering and Operations Research and a member of the Data Science Institute at Columbia University. Prior to that I was a postdoc with the Economics and Computation team under Core Data Science at Facebook Research. I hold a Ph.D. in Computer Science from Carnegie Mellon University, where I was part of the Electronic Marketplaces Lab, advised by Professor Tuomas Sandholm. During my Ph.D. I interned at Microsoft Research New York City, where I worked with Sébastien Lahaie and Miro Dudík, and Facebook Core Data Science, where I worked with Nico Stier and Eric Sodomka. I have also been affiliated with Facebook's Core Data Science team as a consulting research scientist.
I am a winner of the 2016-2018 Facebook Fellowship in economics and computation. I was a runner-up in the 2017 INFORMS Computing Society Student Paper Competition.
Some of my code can be found on GitHub.
Overall topics: artificial intelligence, optimization (especially convex), game theory, market design, machine learning. Subfields: equilibrium computation, mechanism design, competitive equilibrium, first-order methods, saddle-point problems, extensive-form games, Stackelberg games, robust optimization, regret minimization.
I have taught several courses on algorithms, artificial intelligence, and markets. A full list of courses can be found here.