Nathan Kallus is a Professor of Operations Research and Information Engineering at Cornell University and Cornell Tech, starting Fall 2016. 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.

Nathan is currently recruiting highly motivated and talented PhD students for his research group at Cornell Tech in NYC. For more information please email Nathan and read this page.