Georgia is currently an Assistant Professor at the University of Florida’s Department of Statistics. Her work focuses on causal inference and Bayesian methods for air pollution epidemiology, spatial confounding, causal exposure response function estimations, and interference. Dr. Papadogeorgou’s research focuses on estimating the effect of air pollution decreases on various health outcomes, as well as the evaluation of US air pollution regulations.
My primary research interests focus on estimating the impacts of climate hazards, air pollution, and built environment on human health across the life course under a changing climate, especially for susceptible subgroups of the fetus, children, pregnant women, and elderly.
Chen Chen is currently a Post-Doctoral Scholar at the UCSD Scripps Institute of Oceanography. M.S.P.H Occupational Health and Environmental Hygiene, Johns Hopkinns Bloomberg School of Public Health, 2013 B.S. Pharmaceutical Science, Fudan University, 2011
Hannah Correia’s research focuses on the formulation of novel statistical methods to increase accuracy of quantifying causal relationships and creating models to predict potential ecosystem variations. She is also interested in advancing statistical methods for modeling high-dimensional data common to ecological and climatic studies, where it is difficult to apply basic nonparametric approaches. Each year she participates in the Masamu Program, a collaborative workshop in southern Africa focusing on advancing…
Daniela is an undergraduate at Harvard College and a member of the inaugural group of SPUDS Fellows (Summer Program for Undergraduates in Data Science). She was born and raised in West Palm Beach, Florida. In 2020-2021, she took a leave of absence and interned with Surgo Ventures and first gained exposure to Data Science. Daniela is currently working with Falco and Francesca on the Casual Rule Ensemble method that will…
Nina Katz-Christy recently graduated from Harvard University with her B.S. in Statistics. As an undergraduate, she conducted research with the National Studies on Air Pollution & Health, developing a joint Bayesian model to predict county-level health effects of impending tropical storms.
Zifan is currently a data scientist at the University of Texas Southwestern, where his main responsibilities include developing and maintaining software tools and infrastructure for the Quantitative Biomedical Research Center. Born in Shanghai, China, Zifan went to undergraduate in Spartanburg, South Carolina to pursue a degree in computer science and a minor in math and physics before completing his Master’s Degree in Bioinformatics at Harvard Medical School in December of…