About Me

I am an Associate Professor of Computer Science and Engineering (CSE), the Associate Director of the Artificial Intelligence (AI) Lab , and the co-Director of AI & Digital Health Innovation at the University of Michigan in Ann Arbor. I currently head the MLD3: Machine Learning for Data-Driven Decisions research group. My primary research interests lie at the intersection of machine learning (ML), artificial intelligence (AI), and healthcare. I take a use-inspired approach to research, where I study real-world problems through a technical lens. In close collaboration with domain experts and clinicians, my work has resulted in the successful integration of ML models developed by my research group into clinical workflows that have had a positive impact on patient care. To find out more about my research interests and what my group is currently working on, please follow the "Research" link above.

I received my PhD in 2014 from MIT, where I worked with Prof. John Guttag in the Computer Science and Artificial Intelligence Lab (CSAIL). My PhD research focused on developing accurate patient risk-stratification approaches that leverage spatiotemporal patient data, with the ultimate goal of discovering information that can be used to reduce the incidence of healthcare-associated infections. In 2015 I was named Forbes 30 under 30 in Science and Healthcare; I received an NSF CAREER Award in 2016; in 2017 I was named to the MIT Tech Review's list of 35 Innovators Under 35; I received a Sloan Fellowship in Computer Science in 2020; and in 2024 I received the Carl Friedrich von Siemens Humboldt Research Award in recognition of my career accomplishments.

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