Joshua Warren

Joshua Warren is a Professor in the Department of Biostatistics at the Yale School of Public Health. He holds appointments in Climate Change and Health, Public Health Modeling, the Yale Superfund Research Center, and the Yale-BI Biomedical Data Science Fellowship. His academic journey includes a PhD in Statistics from North Carolina State University (2011), an MS from the same institution (2009), and a postdoctoral fellowship at UNC Chapel Hill (2014) before joining Yale.

Warren's research focuses on developing hierarchical Bayesian methods for spatial and spatiotemporal data, assessing environmental exposures' impact on human health, and characterizing infectious disease spread. His work frequently involves introducing spatial and spatiotemporal models in Bayesian settings to study associations between environmental exposures like air pollution and health outcomes including preterm birth, low birth weight, and congenital anomalies. He also applies these methods in collaborative settings including epidemiology, geography, nutrition, and glaucoma research.

His 15 most recent publications demonstrate extensive work at the intersection of environmental health, spatial statistics, and public health. The research spans air pollution health effects, tuberculosis transmission modeling, heat wave impacts on birth outcomes, and statistical methodology development. His work shows particular strength in applying Bayesian approaches to complex spatial and temporal data in public health contexts.

• Coauthor, Kenneth Rothman Epidemiology Prize Paper (2018)
• First Author, Best Paper in Biometrics (2012)

Warren serves as Associate Editor for Statistics in Biosciences (2015-present) and previously for the Journal of the American Statistical Association (2018-2020). He has reviewed for the Health Effects Institute (2019), Swiss National Science Foundation (2017), and NIH study sections (2016). His collaborative network includes researchers like Nicole Deziel, Daniel Weinberger, Ted Cohen, and Xiaomei Ma.

His laboratory focuses on statistical methods development with applications to public health problems, particularly those involving spatial and temporal data structures. Warren's work bridges theoretical statistics with practical public health applications, making significant contributions to how we understand environmental health risks and infectious disease dynamics.