About Me
I am an Assistant Professor in EECS at the University of Michigan. In the fall of 2014, I joined the CSE division after completing my PhD at MIT. I currently head the MLD3 research group. The overarching goal of my research agenda is to develop the computational methods needed to help organize, process, and transform data into actionable knowledge.
My primary research interests lie at the intersection of machine learning and healthcare. I especially enjoy solving the technical challenges that arise when considering the practical application of machine learning in clinical settings. Currently, I'm focused on developing accurate patient risk stratification approaches that leverage data across time and space, with the ultimate goal of reducing the rate of healthcare-associated infections among patients admitted to hospitals in the US.
In addition to this work, I've had the privilege of working with a unique dataset from the NBA. Recently, I've had a lot of fun applying many of the same techniques we use in the medical work to the world of sports analytics. In general, I enjoy tackling the challenges that develop when working with large complex datasets.