Keith Barnatchez is a biostatistics PhD student at Harvard University, advised by Rachel Nethery and Giovanni Parmigiani. He is interested in developing methods for addressing challenges to observational causal inference, particularly when 1) important variables are subject to measurement error, and 2) data is collected from numerous sources, each with their own potential sources of bias. Keith also works with Marie-Abele Bind on developing methods for external control trials in…
Flannery Black-Ingersoll is a student in the Environmental Health doctoral program at Boston University. She has an MPH from Boston University and researches climate change impacts on health.
Michael Cheung is a PhD student in the Biostatistics program at the University of California, San Diego. His research focuses on methodological challenges for pre-post, repeated measures, cluster-randomized trials and causal inference methods for high-dimensional effect modification.
Paolo is completing a Masters of Science in Data Science at Bocconi University in Milan,Italy. He is currently a visiting student at the T.H. Chan School of Public Health. His research will focus on analysing the link between fine particular matter(PM2.5), social mobility(AUM) and Hospitalization using causal inference and bayesian nonparametrics.
Yanran Li is a PhD student in Biostatistics at Columbia University, having previously completed her Master’s degree in Biostatistics from Harvard University, as well as a Bachelor’s degree in Physics from Sun Yat-sen University. She is interested in statistical machine learning and Bayesian methods with application to environmental health and health inequities.
Heather McBrien is a research assistant at Columbia University, working on climate disaster-related exposures and health . Prior to her work at Columbia, she graduated from the University of Toronto with a degree in statistics.
Qiyue Nie is a Master of Science student in the Department of Environmental Health at Harvard. Qiyue received a B.Sc. in Environmental Sciences from Peking University. His research interests include health effect of air pollution, climate change, air pollution exposure assessment and causal models.
Josha Thomas is a graduate student in the Master’s in Data Science program at Harvard University. She has a Bachelor’s in Economics, Psychology and Data Science from Northwestern University. In addition to her coursework, she is actively involved in studying time series research methods in Dr. Francesca Dominici’s lab. She is working towards becoming a public health data scientist, aiming to leverage her expertise to conduct research on the environment’s…
Sofia Vega is a third year Ph.D. Candidate in Biostatistics at Harvard T.H. Chan School of Public Health. Sofia has interests in Environmental Statistics and Causal Inference and is excited to work with Dr. Nethery to estimate the health impacts of wildfire smoke exposure in the western United States.
Yichen Wang earned her Master of Science degree in Environmental Health at Harvard T.H. Chan School of Public Health. Her research interest lies in air pollution, climate change, cardiovascular and neurologic outcomes, and causal inference.
