Randy Harsuko
Post-Doctoral Researcher
rharsuko ‘at’ berkeley ‘dot’ edu
Randy is a geophysicist and computational scientist specializing in seismic data processing, inverse problems, and the application of deep learning to subsurface modeling. He is currently a postdoctoral researcher at Civil and Environmental Engineering Department, UC Berkeley, where he works on advancing data-driven approaches for geothermal and Earth system analysis.
He earned his Ph.D. in Earth Science and Engineering from King Abdullah University of Science and Technology (KAUST) where his research focused on developing a comprehensive deep learning–based framework for automated seismic data processing and velocity model building. His work combines physics-based understanding with modern machine learning techniques to tackle challenges in exploration, hazard assessment, and subsurface characterization, and has culminated multiple publications in leading geophysics and machine learning venues.
His broader research vision is to move toward integrated, intelligent systems for Earth sciences that go beyond conventional models. He is currently developing GAIA, a next-generation platform that combines digital twins, AI agents, and interactive interfaces to support geothermal and subsurface decision-making. One of his notable previous works is StorSeismic, the first foundation model in geophysics and seismic data processing that enables unified learning across multiple seismic processing tasks. Through these efforts, Randy aims to build adaptive, AI-
driven systems that continuously learn from data and improve how subsurface information is interpreted and utilized in real-world energy and geoscience applications.