Dr. Chen Chen is a postdoctoral scholar at Scripps Institution of Oceanography at the University of California San Diego. Her research lies under three main areas: 1) applying causal inference and advanced methods in air pollution epidemiology, 2) incorporating considerations of social determinants of health into studies of environmental exposures, and 3) quantifying the health risks of emerging climate-related hazards and informing effective adaptation strategies. She is also interested in…
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.
Yongsoo Choi is a Postdoctoral Associate at Yale University, working under the mentorship of Dr. Michelle Bell. His primary research interest is in exploring the varying patterns of health effects caused by air pollution across different times, regions, and populations. Furthermore, he is focused on identifying the causes behind these variations. His goal is to generate valid evidence that can help reduce the overall disease burden attributable to air pollution…
Dr. Choma is a Research Fellow in the Department of Environmental Health at the Harvard T.H. Chan School of Public Health. His research focuses on health risk assessment, with a primary interest in the use of risk assessment to inform policy decisions. Dr. Choma’s research has focused on fine particulate matter air pollution and on the health co-benefits of climate change mitigation, especially on the transportation sector, where he has…
George is the 2022 Wojcicki and Troper Postdoctoral Research Fellow of Harvard Data Science Initiative. He received a Ph.D. in Computer Science from the DaSciM group of LIX, École Polytechnique in Paris, France. He is working on machine learning for structured data with a special focus on graphs and generally non-Euclidean structures. His research is concentrated mainly on building powerful graph learning models, that are able to extract knowledge in…
Linda is currently pursuing a Master’s degree in Bioengineering with a minor in Data Science at EPFL, Lausanne, Switzerland. She is dedicating six months to conducting her Master’s thesis research in Dr. Dominici’s lab, where she is focused on the development of CMS data loaders. Linda is enthusiastic about expanding her expertise and growing her knowledge in both Bioengineering and Data Science.
Clarence James Gamble Professor of Biostatistics, Population and Data Science and Co-Director of the Data Science Initiative
Pedram Fard, PhD, is a Research Associate at Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS). With a background in geoinformatics and planning, he has developed expertise in geospatial modeling and large-scale environmental data analysis. At HMS, Pedram has contributed to multiple environmental exposure assessment studies, notably an NIH funded project to investigate the health impacts of extreme heat and cold events (EHE/ECE) exposure on elderly populations with…