About the Reich Lab

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.

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 and on New England Public Radio.

With active funded projects from the NIH, DARPA, CDC, and VA, the Lab is involved in independent and collaborative research efforts. Our collaborators include the Infectious Disease Dynamics Working Group at Johns Hopkins, the Thai Ministry of Public Health, the Dengue Branch of the CDC in Puerto Rico, 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.

Nicholas Reich
Principal Investigator

Nick's research focuses on developing statistical methods for analyzing infectious disease data. He also enjoys hiking, canoeing, and juggling.

Alexandria (Lexi) Brown
Post-doctoral fellow

Lexi received her PhD in Organismic and Evolutionary Biology. She is interested in machine learning and developing intelligent, interpretable statistical models for analyzing infectious diseases in human populations.

Evan Ray
Post-doctoral fellow

Evan got his PhD in statistics developing methods to infer physical activity type and intensity from accelerometer data. He is working on developing inference techniques for multi-pathogen disease models.

Krzysztof Sakrejda
Post-doctoral fellow

Krzysztof received his PhD in Organismic and Evolutionary Biology studying environmental sensitivty in survival and developing time-to-event and local regression models for mark-recapture data. He is working on incorporating time-delayed data into predictive disease models.

Stephen Lauer
PhD student

Stephen is a graduate researcher pursuing his PhD in biostatistics. His work focuses on developing tools to make and evaluate real-time infectious disease forecasts, such as the Shiny web application for the ALERT algorithm. He likes the NBA and maps.

Xi Meng
MS Student

Xi received her BS degree from Beijing Institute of Technology with a major in Electrical Engineering. She is working as a research assistant to conduct simulation studies and analysis on multi-strain infectious disease time-series data.

Harley Jean

Harley is a senior Public Health major at UMass-Amherst. He is working as a research assistant, investigating methods for analyzing spatial dynamics of infectious disease time-series data.

Abhinav Tushar
MS Student

Abhinav is an MS student in Computer Science department. He is interested in machine learning and data science.

Matthew Cornell
Software Engineer

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.