Veronica Ballerini is a postoctoral fellow at the Department of Statistics of the University of Florence, joining the Havard TH School of Public Health, Department of Biostatistics on March 2025. She works on Bayesian causal inference for health and social sciences. Her research interests also include Bayesian data integration and fusion from multiple sources, and missing data problems.
Trang Bui
Trang Bui is a recent Ph.D. graduate in Statistics from University of Waterloo. Her doctoral thesis concerns the design and analysis of experiments on networks. During her Ph.D., Trang also worked as a statistical consultant for various research projects from different departments at the university. Her collaborative work involves the topics of meta-analysis, survey sampling and explainable machine learning.
Garam Byun
Dr. Garam Byun is a Postdoctoral Associate at the Yale School of the Environment. She investigates the health effects of environmental risk factors, including but not limited to air pollution, temperature, and greenness, with a particular focus on vulnerable individuals and communities. Her research interests also encompass epidemiological methodologies and the evaluation of environmental policies. She has contributed to multiple government-funded research projects, emphasizing the critical role of epidemiological studies…
Chen Chen
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…
Yongsoo Choi
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…
Ernani F. Choma
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 Dasoulas
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…
Pedram Fard
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…
Youn Soo Jung
Younsoo Jung is a research associate in the Department of Environmental Health at Harvard T.H Chan School of Public Health, mentored by Kari Neadu. Her research interests are quantifying the impact of climate change and understanding the vulnerable groups to improve health disparity and help better shape health policy. She completed her Ph.D. in Economics at the University of Iowa. Her dissertation focused on the impact of Medicaid expansion on…
Bret Nestor
Dr. Nestor is a computer scientist researching techniques to improve the generalisability and utility of machine learning models for clinical time-series data.