Nathan Kallus


Nathan Kallus is an Assistant Professor in the School of Operations Research and Information Engineering and Cornell Tech at Cornell University. Nathan's research interests include optimization, especially under uncertainty; causal inference; sequential decision making; and algorithmic fairness. He holds a PhD in Operations Research from MIT as well as a BA in Mathematics and a BS in Computer Science from UC Berkeley. Before coming to Cornell, Nathan was a Visiting Scholar at USC's Department of Data Sciences and Operations and a Postdoctoral Associate at MIT's Operations Research and Statistics group.