Jonathan is a Hydrologist with an interest in all aspects of the global water cycle, but is currently focused on computational modeling of surface water dynamics. He received his BS from California State University, Monterey Bay and his MS from University of California, Irvine. Jonathan is currently a PhD candidate at the University of Alabama where he has been researching physics-informed machine learning techniques for operational flood forecasting. Prior to joining Cloud to Street Jonathan worked as a water resources engineer and hydrologist in the non-profit, consulting and government sectors. Jonathan is a licensed Professional Engineer in California.
Jonathan’s scholarly work can be found here.