Harnessing Data to Unveil Discoveries and Transform Health

MiCHAMP brings together faculty investigators from multiple U-M schools and colleges and is affiliated with the Institute for Healthcare Policy and Innovation (IHPI). The primary goal of this multidisciplinary research collaborative is to harness existing national, regional and local healthcare data sets to develop medical prediction models that address complex clinical problems. Through rich interactions with data science methodologists, informaticians, and clinical researchers, investigative teams aim to transform patient care to improve quality and decrease healthcare costs.

Featured Member

I am an Assistant Professor of Computer Science and Engineering (CSE) at the University of Michigan. I currently head the MLD3 research group. My primary research interests lie at the intersection of machine learning and healthcare. The overarching goal of my research agenda is to develop the computational methods needed to help organize, process, and transform data into actionable knowledge. Visit featured member profile.

Team Photos