Hannah Correia is a Postdoctoral Fellow at the Harvard Data Science Initiative working on developing and applying novel methodology for causal discovery and causal inference in ecology and environmental sciences, with a specific focus on the effects of climate change on animal and human populations. In August 2022, she will be at the John Hopkins Whiting School of Engineering as a Post-Doc. Hannah Correia’s research focuses on the formulation of…
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,…
I am a PhD Candidate in Public Policy at the Harvard Kennedy School and the 2020 recipient of the Joseph Crump Fellowship. Prior to starting my PhD, I worked as a research assistant at Resources for the Future. I graduated summa cum laude from Pomona College, with a BA in Economics. I enjoy hiking and pottery and am a nonresident tutor at Lowell House and a member of the Graduate Women in Economics core team.
Daniel received his PhD from Colorado State University where he developed statistical methods for studying the relationship between maternal exposures to air pollution and birth and children’s health outcomes. His research interests include: statistical machine learning, functional regression, variable selection, effect heterogeneity, and causal inference, with an application to understanding the health effects of environmental exposures.
My research focuses on problems at the interface of the mathematical sciences and public policy. My primary methodological work is in causal inference, focusing on questions of causal “data fusion,” in which observational and experimental data sources are merged. I am also interested in political science and the analysis of American elections. I hold a PhD in Statistics from Stanford University.
Dafne got her bachelor’s and master’s degree in Statistics in Padua, Italy. She is currently a visiting Ph.D. student at the Harvard T.H. Chan School of Public Health. Her interests are Bayesian nonparametric models and causal inference.
