About us

Pardon the mess, our website is currently undergoing rennovations.
 
The Nethery Lab is based in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health (HSPH). The aim of our research is to develop statistical methods that enable maximally rigorous and impactful uses of data to answer environmental and population health questions. In particular, our recent work centers around
 
  1. Estimation of the health impacts of environmental contaminant exposures and environmental regulations
  2. Studying the impacts of extreme climate exposures and natural disasters on health and forecasting the health burdens of future extreme climate events
  3. Characterizing inequities in health outcomes and environmental exposures across space and socioeconomic/demographic groups
  4. Identifying communities most vulnerable to the health impacts of environmental and climate exposures and determining what features drive vulnerability

Methodologically, our work spans the domains of causal inference, machine learning, Bayesian methods, latent variable models, spatial statistics, time series analysis, and beyond.

 
The Nethery Lab intersects and collaborates closely with the National Studies of Air Pollution and Health (NSAPH) team at HSPH. More detail about NSAPH can be found here.

Nethery Lab News

January 2024
  • Ellen Considine won the JSM Statistical Learning and Data Science Section student paper competition for her paper “Optimizing Heat Alert Issuance for Public Health in the United States with Reinforcement Learning". Congrats Ellen!
December 2023
September 2023
August 2023
July 2023
June 2023
  • Jenny Lee was awarded a (highly competitive) Burke Climate and Health Fellowship from the Salata Institute for Climate and Sustainability and the Harvard Global Health Institute. Congrats Jenny!
May 2023
  • Congrats to 2023 Nethery Lab graduates: Jenny Lee, Yanran Li, and Rindala Fayyad!
  • Rindala Fayyad submitted her thesis paper, "Air pollution and serious bleeding events in high-risk older adults: a retrospective cohort study", for publication.
April 2023
March 2023
February 2023
  • Sarika Aggarwal won the award for best poster at the Dana Farber/Harvard Cancer Center Celebration of Early Career Investigators in Cancer Research.
January 2023
  • Jenny Lee won the Korean International Statistical Society Outstanding Student Paper Competition.