Assistant Professor of Geosciences
Ran Feng is an assistant professor in the Department of Geosciences at the University of Connecticut in Storrs. Prior to joining UConn, she completed a two-year postdoc working with the paleoclimate modeling group at the National Center for Atmospheric Research. She earned her Ph.D. in earth and environmental sciences from the University of Michigan in Ann Arbor.
Growing up in southwest China, Feng studied meteorology and climate in college. She soon became fascinated by paleoclimatology and decided to focus on studying past climate change at the graduate level. She is currently working on understanding cloud and precipitation processes in warm and cold climate states, and the interactions between the hydrological cycle and mountain uplift. She is an active member of Paleoclimate Modeling Intercomparison Project. This group conducts international paleoclimate modeling experiments to improve predictions of future climate change. She also actively collaborates with geochemists, paleontologists, and geophysicists to explore terrestrial climate, mammalian evolution, and plate tectonics.
Q&A with Ran Feng
What are your research interests?
My interests include cloud and precipitation processes during greenhouse climates.
How did you become interested in this type of work?
Our instrumental records only chronicle a very narrow range of changes in precipitation and clouds. By studying past climates, we can sample a much wider range of climate states, and hence reduce the uncertainties in our predictions of future climate.
What courses will you be teaching this year?
I will teach Introduction to Climate Modeling and Data Analysis in Earth Sciences.
What drew you to UConn?
I am excited to join the recently launched Department of Geosciences at UConn. Within the Department, there are rising stars in geochemistry, geomorphology, and geochronology, as well as well-established paleontologists, geologists, geophysicists, and hydrologists. It is a highly productive environment with plenty of potential for collaboration.