Optimization for an uncertain world.

I work at the intersection of computer science, AI, and economics, with a focus on solving practical problems using stochastic optimization and machine learning.

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I'm an Assistant Professor in the Department of Computer Science at the University of Maryland, with a joint appointment in the University of Maryland Institute for Advanced Computer Studies (UMIACS). At Maryland, I am also formally affiliated with the Applied Mathematics & Statistics, and Scientific Computation (AMSC) program, as well as the Human-Computer Interaction Laboratory (HCIL). Previously, I was a Ph.D. student in computer science at Carnegie Mellon, lead developer of the US nationwide kidney exchange program, and lead developer of a better way to deal with TV advertisements (currently in the pilot phase with two of the nation's largest MSOs).

I have published in Science magazine and been interviewed by Scientific American and CNN. My work with the Pittsburgh Supercomputing Center on kidney exchange won the 2014 HPCWire "Best Data-Intensive Application" supercomputing award (tied with IBM Watson). A project to which I contributed was covered by Popular Science, and featured in the journal Nature. Coverage of a book I co-authored on data mining and counter-terrorism appeared in Fast Company. My Erdös number is 3.

My research is currently supported by an NSF CAREER award, as well as DARPA SI3-CMD and NIH R01 grants, and generous gifts from industry partners such as Google. Previously, I was supported by a Facebook Fellowship (2015–2017), Siebel Scholarship (class of 2016), and an NDSEG Fellowship (2012–2015).