McKelvey Engineering joins Argonne, others, to study urban climate change Field lab will engage community members in citizen science. 09.07.2022
Where are the particles over the oceans from? Jian Wang to study formation of particles around marine boundary layer clouds. 06.01.2022
Beeler accepted into DOE research program for doctoral students The doctoral student will conduct some of her thesis research at the Pacific Northwest National Laboratory in Richland, Washington, for six months. 05.09.2022
Martin ranks No. 23 worldwide among environmental scientists Research.com ranks Randall Martin No. 12 in U.S., 23 in world. 05.06.2022
Martin wins NASA grant for satellite-derived air quality research Findings could help with future air quality management. 01.27.2022
Lockdown drove pollution changes between – even within – cities New method allows researchers to measure levels of NO2 on a finer scale, revealing disparities in exposure during COVID. 01.19.2022
Energy facility awards funding to Chakrabarty Chakrabarty's project is one of 35 two-year projects funded by a U.S. Department of Energy facility sponsored by the Biological and Environmental Research program. 12.21.2021
Mitigating environmental impact of herbicides Kimberly Parker, Brent Williams, graduate student Stephen Sharkey evaluate herbicide drift. 12.15.2021
Something's Up Rajan Chakrabarty and Randall Martin research fine particulate matter, which is the leading cause of environment-related diseases around the world. 12.07.2021
McKelvey Engineering has three of world’s most ‘highly cited researchers’ Randall Martin, Rohit Pappu and Lan Yang are recognized for their work by the Institute for Scientific Information. 11.16.2021
St. Louis environmentalists to check for air pollution in communities of color Jay Turner and his lab will collect and analyze samples of volatile organic compounds from the absorbed pollution in some St. Louis neighborhoods. 10.28.2021
Environmental injustice, population density and the spread of COVID-19 in minority communities Computer modeling shows just two factors can predict how quickly COVID-19 spread. 10.19.2021
