Jie Hu (Kate)

Post-Doctoral Research Fellow
HSPH Department of Biostatistics

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

Post-Doctoral Fellow

Oladimeji Mudele is a Postdoctoral Fellow. His research focuses on the application of satellite imagery, geospatial information, machine learning, and statistics toward the ultimate goal of understanding the driving mechanisms of the interactions between environmental variables and human health outcomes. He obtained a B.Eng (Hons.) in Electrical and Electronic Engineering from the Federal University of Technology, Akure, Nigeria (2013); an M.Sc in Electronic Engineering (summa cum laude) from the University…

Cuicui Wang

Post-Doctoral Research Fellow
HSPH Department of Environmental Health

Dr. Cuicui Wang is a postdoctoral research fellow working with Dr. Joel Schwartz. Her research program focuses on determining the biological mechanisms linking environmental exposures (e.g., air pollution, temperature) and cardiopulmonary diseases. She is also interested in epidemiology looking at the health consequences of exposure to pollutants

Photo of Dr. Falco Joannes Bargagli Stoffi

Falco Joannes Bargagli Stoffi

Post-Doctoral Research Fellow
HSPH Department of Biostatistics

I am a Postdoctoral Research Fellow at Harvard University. Previously, I got a PhD in Economics and Data Science jointly at IMT School for Advanced Studies (Italy) and KU Leuven (Belgium). I am fascinated by the application of  statistical methods to social and health sciences. My research is at the intersection between causal inference and machine learning. In particular, I study methods to improve public and private interventions in a rampantly heterogeneous world.…

Chen Chen

Post-Doctoral Research Fellow
Yale School of Environmental Health

M.S.P.H Occupational Health and Environmental Hygiene, Johns Hopkinns Bloomberg School of Public Health, 2013 B.S. Pharmaceutical Science, Fudan University, 2011

Scott Delaney

Post-Doctoral Research Fellow
HSPH Department of Environmental Health

Scott Delaney, ScD JD MPH, is an epidemiologist at the Harvard T.H. Chan School of Public Health. His research seeks to identify ways that social, environmental, and psychosocial factors interact to affect health outcomes with the aim of creating better, more equitable healthcare, social, and legal systems. Currently, Dr. Delaney is exploring how social marginalization and disadvantage exacerbate effects of climate change on brain health.

Photo of Shuxin Dong

Shuxin Dong

Post-Doctoral Research Fellow
HSPH Department of Environmental Health

Shuxin got Bachelor of Environmental Science and Bachelor of Economics from Peking University and graduated from Harvard T.H. Chan School of Public Health with a master degree concentrating on environmental epidemiology. Her research interests are air pollution and Alzheimer’s Disease / birth outcomes, and causal inference methods.

Kelvin Fong photo

Kelvin Fong

Post-Doctoral Research Fellow
Yale School of the Environment

B.Sc. Physiology and Music, University of Toronto, 2010 M.Sc. Environmental Sciences, ETH Zurich, 2012 Sc.D. Environmental Health, Harvard University, 2018 Research: I am interested in how different population subgroups are affected by environmental exposures such as air pollution, heat, and green space. An topic I am currently working on is how economic and racial segregation impacts population health, and how these social factors relate to health effects from environmental exposures.

Zachary Hervieux-Moore

Post-Doctoral Research Fellow
HSPH Department of Biostatistics

Zachary completed his PhD at Princeton focusing on reinforcement learning with a large computational component. He is interested in applying his computational and machine learning background to tackle social issues.