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…
Makoto Kelp is currently a postdoctoral fellow working with Dr. Loretta Mickley in the Atmospheric Chemistry Modeling Group at Harvard University, where he received his PhD. He will be starting as a NOAA Climate & Global Change (C&GC) postdoctoral fellow working with Prof. Noah Diffenbaugh at Stanford University in September 2023. His current research centers on applying data science methods, including machine learning and compressed sensing, to uncover new perspectives…
Mauricio Tec is a Ph.D. student in Statistics at the University of Texas at Austin. His main research interest is developing new AI and statistical methods for public policy, healthcare, and scientific applications. He considers major challenges like causality, sequential decisions, uncertainty quantification, and modeling complex structured data. Thus, he focuses mainly on deep and reinforcement learning, Bayesian statistics, and causal inference techniques. He believes that AI can revolutionize scientific…
Veronica Wang is a Post-doctoral Fellow who is interested in how environmental exposures influence health. She completed her Masters and Doctoral education in Environmental Health at Harvard T.H. Chan School of Public Health, where her work was primarily on the adverse effects of air pollution and solar activity in pregnant and elderly populations. Her current work focuses on respiratory outcomes in early childhood and Parkinson’s disease in the elderly.
Arpita Biswas is a CRCS Postdoctoral Fellow at the John A. Paulson School of Engineering and Applied Sciences, Harvard University. Her research focuses on Algorithmic Decision Making and Societal Impact, tackling fairness concerns, resource limitations, and robustness issues. Her broad areas of interest include Algorithmic Game Theory, Optimization, and Machine Learning. Her algorithmic contributions span across a wide range of problems, including fair resource allocation, fairness in machine learning, sequential…
Marissa Childs is a postdoctoral fellow through the Harvard University Center for the Environment mentored by Christopher Golden and Francesca Dominici. Her research broadly seeks to understand how environmental change affects human health by combing data from remote sensing and ground measurements with methods from disease ecology and causal inference. Her current postdoc research is part of the Madagascar Climate-Smart Public Health project. Marissa received her PhD from the Emmett…
Dr. Kate Hu was the Head of Data Science at Aclima Inc, where she drives the company’s data science research and development to deliver hyper-local air pollution maps and insights at unprecedented block-by-block resolution. Her previous expertise includes methods development for complex epidemiological studies and data science research in precision agriculture for sustainable farm management amid climate change. Kate graduated with First Class Honours from the University of Hong Kong,…
Oladimeji Mudele is a postdoctoral fellow at the Harvard T.H. Chan School of Public Health mentored by Christopher Golden and Francesca Dominici. His work centers on the application of geospatial information and data science methods for connecting climate and health outcomes/policy. He holds an M.Sc in Electronic Engineering (summa cum laude) and a Ph.D. in Electronic, Computer Science and Electrical Engineering (2021) from the University of Pavia (UNIPV), Italy. Before…
