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). I hold a PhD in computer science from Carnegie Mellon. 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) and Maryland Transportation Institute (MTI). Recently, I've become involved with worldwide blood donation, primarily through a visiting research position at Facebook. I've also been heavily involved in the world of organ allocation for a decade, primarily through the United Network for Organ Sharing (UNOS).

My research is currently supported by an NSF CAREER award, as well as by current or recent grants from DARPA, ARPA-E, NIH (R01), 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).

Outside of Maryland, I am Chief Scientist at ArthurAI, where we develop and deploy enterprise-grade AI systems. You can read more about Arthur in this recent Wired article. If you're interested in building scalable monitoring solutions for AI systems, get in touch; we're hiring! I am also fortunate to advise two (UMD-alumnus-founded!) startups: Ensu, which helps users understand their emotional health through music, and GovShop, which provides market intelligence to public sector buyers and suppliers. A while ago, I built the earliest allocation and pricing products at Optimized Markets.