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 Associate Professor (as of July 2022!) 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 NIST, DARPA, ARPA-E, NIH (R01), NSF, 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.