Assistant Professor of Practice
School of Information
Michael's research is focused on how to increase civic and political engagement. He's especially interested in how campaigns and non-partisan groups can use data science to increase turnout among minority and low propensity voters. His research also explores how groups can use technological tools to encourage political activists to run for local office.
He currently teaches the research design fundamentals class (Data Science W201. Research Design and Applications for Data and Analysis) in the Master of Information and Data Science (MIDS) program, and received his Ph.D. in political science from the University of California, San Diego. He previously taught at the University of Texas at Austin.