Nathan Kallus is an Assistant Professor at Cornell Tech and in the Operations Research and Information Engineering Department at Cornell University. His research revolves around data-driven decision making in operations, the interplay of optimization and statistics in decision making and inference, and the analytical capacities and challenges of unstructured, large-scale, and web-based data. His works span basic theory, effective methodology, and novel applications and has been recognized by awards.
Nathan hails from the town of Haifa, Israel. He holds a PhD in Operations Research from MIT as well as a BA in Pure Mathematics and a BS in Computer Science both from UC Berkeley. Previously, Nathan has been a Visiting Scholar at USC's Department of Data Sciences and Operations and a Postdoctoral Associate at MIT's Operations Research and Statistics group.
CS 5785/ORIE 5750/ECE 5414
Applied Machine Learning