Nathan Kallus is a PhD Candidate at the Operations Research Center at MIT and an NSF Graduate Research Fellow. His research interests include data-driven decision-making, statistical inference and experimental design, and in general the analytical capacities and challenges of social, unstructured, and large-scale data. He earned a B.S. in Computer Science and Engineering with Highest Honors and a B.A. in Mathematics with Highest Distinction in General Scholarship from the University of California, Berkeley in 2009.