He develops data science techniques for analyzing and organizing large text datasets, used for applications in health science and computational epidemiology. His work was among the first to identify the broad set of health issues that can be studied in Twitter, and his research has advanced the state of the art in influenza surveillance on multiple occasions. He is a former Twitter intern, and his work with Mark Dredze was featured in a video as part of the Twitter Stories series. He obtained his Ph.D. in Computer Science from Johns Hopkins University in 2015. See his website for more information: http://www.michaeljpaul.com