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 a Research Assistant Professor of Biostatistics at UMass-Amherst. 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.
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.
Estee is a PhD student in epidemiology. She is interested in infectious disease transmission and malaria surveillance. She received her MPH in global health from Case Western Reserve University. In her free time she enjoys traveling.
Ariane is a PhD student in biostatistics. She received her undergraduate degree in Mathematics from the Georgia Institute of Technology. She is interested in infectious disease forecasting. In her free time she likes to play bridge (a card game).
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.
Abdul is an MS student in Computer Science at UMass Amherst. He is interested in Machine Learning with an emphasis on Deep Learning and fairness in AI.
Aaron is pursuing a degree in biostatistics after a previous career lecturing in the UMass-Amherst math department. He is especially interested in how the public health needs of populations with low social or political visibility should inform forecasting and risk assessment methodologies.
Dasuni is an Undergrad Mathematics major with a Statistics concentration who aspires to apply mathematical and statistical techniques to help solve real-world problems. IN her free time she likes painting, listening to music and hiking.
Apurv is a junior at UMass double majoring in CS and Mathematics and is passionate about writing impactful code and developing software that has a positive impact. In his free time he loves watching and playing basketball and watching documenteries.
Álvaro is a PhD student in epidemiology. He is interested in science communication, economic inequality, gambling, and infectious diseases. He received his MD from Universidad Internacional del Ecuador, and a BSc in Biochemistry from McGill University.
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.
Martha has worked as a biostatistician and data manager in the School of Public Health and Health Sciences, Amherst since 1987. She likes doing anything outside and garland dancing.
Serena graduated Magna cum laude from Mount Holyoke College. She was a double major of Computer Science and Statistics. She is very intersted in infectious disease forecasting. In her free time, she enjoys traveling and reading about Art History.
Yuxin is a software engineer with a mathematics background. He has a B.A. in Computer Science and Mathematics from Colgate University and recently graduated from UMass Amherst with a M.S. in Computer Science. In his free time he enjoys watching comedy/satirical shows and Twitch streams, link-surfing on Wikipedia, and playing basketball.