Dr. Mohammed Ombadi is an environmental data science postdoctoral research fellow in the Climate and Ecosystem Sciences Division at Lawrence Berkeley National Laboratory. He received his Ph.D. and M.S. in Civil & Environmental Engineering, in 2021 and 2017, respectively from University of California Irvine, and B.S. degree in Civil Engineering from University of Khartoum in 2014. His PhD thesis focused on the use of causal inference, information-theoretic techniques, and other data-driven approaches to the analysis of environmental systems. His research work has been acknowledged with awards from the American Geophysical Union, Orange County Engineering Council, UC Irvine School of Engineering and U.S./China Clean Energy Research Center for Water-Energy Technologies (CERC-WET). Moreover, Dr. Ombadi was selected to participate in competitive programs such as NASA JPL Center for Climate Sciences Summer School and the American Meteorological Society (AMS) Summer Policy Colloquium.
At Berkeley lab, his research is concerned with investigating the impacts of streamflow disturbances on water quality using data-driven approaches working with Charuleka Varadharajan on iNAIADS project. He is also a part of the Calibrated & Systematic Characterization, Attribution, and Detection of Extremes (CASCADE).