is a PhD Candidate in the Department of Earth and Environmental Engineering at Columbia University and a National Science Foundation (NSF) Graduate Research Fellow. Affiliated with the Columbia Water Center and the NSF Science and Technology Center, Learning the Earth with Artificial Intelligence and Physics (LEAP), his research examines how the spatiotemporal organization of hydroclimatic extremes shapes risk across interconnected infrastructure, financial, and energy systems. Broadly, Adam’s work bridges climate risk, stochastic hydrology, and machine learning to support resilient and affordable pathways for communities facing intensifying climate extremes. Adam received his BS and MS from Stanford University in Civil & Environmental Engineering and Management Science & Engineering, respectively.