Dr. Seongeun Jeong is a Research Scientist at Lawrence Berkeley National Laboratory (Berkeley Lab). Jeong conducts research to quantify emissions for major greenhouse gases (GHGs) using atmospheric measurements, transport models, and statistical methods. With a background in developing a land surface model, he focuses on improving atmospheric transport simulations to reduce uncertainty in model predictions. Jeong is also interested in applying robust statistical methods to GHG-related research, including hierarchical Bayesian methods. While working for more than a decade at Berkeley Lab, he focused on quantifying CO2, CH4, and N2O emissions to help guide policymakers. Jeong is currently the principal investigator for a NASA Carbon Cycle Science project to estimate California's 2020 CO2 emission budget. He also leads the atmospheric transport simulation and inverse modeling team in a California Energy Commission project to quantify CH4 emissions from California's San Joaquin Valley. He has recently developed a spatial inventory for California's dairy CH4 emissions using artificial intelligence (AI) and remotely sensed imagery and continues to apply AI technology to earth sciences. In addition, for the past several years, Jeong has been working on simulating wind and solar energy generation, utilizing his expertise in meteorological modeling. He earned his M.S. and Ph.D. degrees in Environmental Engineering from the University of California, Berkeley.