Craig Connolly, PhD is a postdoctoral research fellow in the Environmental Health Sciences Department, the Lamont-Doherty Earth Observatory, and the Data Science Institute at Columbia University. His research focuses on providing effective solutions to combat the global threat of arsenic (As) exposure by conducting interdisciplinary, transformative, research that merges environmental chemistry and biogeochemistry, satellite remote-sensing and geospatial analysis, data science and machine learning, and public health. The specific aims of his research at Columbia are to identify key environmental conditions linked to As mobilization and toxicity in groundwater used for drinking water; accurately predict groundwater As levels and heterogeneity across scales using solely remotely-sensed data of Earth’s surface features; evaluate populations at risk of chronic As exposure in vulnerable areas and identify safe drinking water sources; and forecast groundwater As levels in affected regions that are facing climate-driven changes. Craig received his PhD in Marine Science from the University of Texas at Austin and his Bachelor’s of Arts in Biology and Environmental Studies from the College of the Holy Cross.

Craig is working with Drs. Benjamin Bostick (CU Lamont-Doherty Earth Observatory), Mason Stahl (Union College), and Ana Navas-Acien (Mailman School of Public Health, Environmental Health Sciences), as well as colleagues associated with the USGS Powell Center working group designed to integrate international and US based data to develop improved understanding of arsenic distribution and to better provide solutions to As contamination.