Michael Porter holds a dual appointment as an Associate Professor in the School of Data Science and in the Department of Systems and Information Engineering. He teaches courses on machine learning and the design and analysis of algorithms. Porter’s research interests include event prediction and forecasting, pattern and event detection, data linkage, machine learning, computational statistics and statistical modeling, and data science.
Prior to joining the School of Data Science and Department of Systems and Information Engineering, Porter taught as an Associate Professor in the Darden School of Business. Before that, he taught as an Associate Professor at the University of Alabama in Information Systems, Statistics, and Management Science. Porter has developed several self-exciting point models that have been applied to crime, terrorism, social media, and crash data and led to a winning performance in NIJ's Real-time Crime Forecasting Challenge. In his courses, Porter emphasizes data-driven decision-making and reproducible research.
Porter holds a PH.D. in Systems and Information Engineering from UVA, an M.S. in Systems Engineering from Vanderbilt University, and a B.S. in Industrial Engineering from Purdue University.
PH.D., Systems and Information Engineering, University of Virginia
M.S., Systems Engineering, Vanderbilt University
B.S., Industrial Engineering, Purdue University
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