Led by PI Nicholas Reich and based in the Department of Biostatistics and Epidemiology at the University of Massachusetts Amherst, the Reich Lab focuses on developing statistical methods and tools for data arising from infectious disease settings. In 2019, we were designated as a CDC-funded Influenza Forecasting Center of Excellence.
We use statistics, data science, and epidemiology to gain better understanding of the complexities of infectious disease dynamics. Our work has been featured in the New York Times, FiveThirtyEight, the Economist, and the Boston Globe, and on National Public Radio and PBS NewsHour.
With active funded projects from the NIH and CDC, the Lab is involved in independent and collaborative research efforts. Our collaborators include the Influenza Division at the US CDC, the Dengue Branch of the CDC in Puerto Rico, the Infectious Disease Dynamics Working Group and Center for Health Security at Johns Hopkins, the Thai Ministry of Public Health and National Electronics and Computer Technology Center (NECTEC), the New York City Department of Health and Mental Hygiene, the Children's Hospital Colorado, and the Veterans Health Administration branches in New York City and Iowa City.
Nick is an Associate Professor of Biostatistics at UMass. He received his PhD in Biostatstics from Johns Hopkins, where he also did his post-doctoral training in infectious disease epidemiology. He also enjoys spending time outside with his family (hiking, camping, canoeing, gardening).
Evan is an Assistant Professor of Mathematics and Statistics at Mt Holyoke College. He received his PhD in statistics from UMass-Amherst, developing methods to infer physical activity type and intensity from accelerometer data. A former post-doc in the Reich Lab, he also works on developing methods for predicting infectious disease outbreaks.
Tom is a Postdoctoral Fellow of Biostatistics. His research advances ensemble, and judgmental, forecasting techniques applied to predicting seasonal influenza-like illness. Before joining the Reich Lab, Tom spent his time as Associate Director of Biostatistics. He designed novel cardiovascular clinical trials and led a team of biostatisticians. Tom also enjoys spending time with his family, reading, playing the guitar, and carpentry.
Xi received her BS degree from Beijing Institute of Technology with a major in Electrical Engineering. Her PhD research focuses on using particle filtering approaches to draw inference about dynamics in complex, multi-strain infectious disease settings.
Casey is a graduate researcher pursuing his PhD in biostatistics. His work focuses on developing tools to make and evaluate real-time infectious disease forecasts using bayesian non-parametric methods. He likes biking, dogs, and probability.
Nutcha is pursuing her PhD in Biostatistics. She is interested in infectious disease forecasting, causal inference, and ensemble methods.
Katie got her MS in Computer Science concentrating in Data Science from UMass Amherst. She is interested in data visualization and machine learning. Outside of school, she likes to participate in hackathons and make baked goods.
Khoa is an MS student in Computer Science, with a concentration in Data Science. He is interested in machine learning and its application in interdisciplinary fields such as computational sustainability. Besides studying, Khoa enjoys reading about history and international relations.
Matt is the lab's research software engineer. His M.S. is in Computer Science from UMass/Amherst, and his B.S. is in E.E. Before grad school he worked for NASA's Kennedy Space Center in Space Shuttle operations. Since then he's worked for decades in various AI research labs, writing all types of software.