Porter’s areas of expertise include forecasting, machine learning and anomaly detection, with special focus on event prediction and pattern detection. The models he’s developed have been applied to Yelp, crime and terrorism and led to a winning performance in the National Institute of Justice’s Real-Time Crime Forecasting Challenge.

Prior to his joint appointment at the University of Virginia’s Darden School of Business and School of Engineering and Applied Science, Porter taught at the University of Alabama and served as a principal research scientist at Digital Globe and project engineer at Sanford/Newell Brands.

B.S., Purdue University; M.S., Vanderbilt University; Ph.D., University of Virginia