Summary
Nader Senobari is an interdisciplinary researcher and educator with 8 years of experience applying AI and algorithm design to earth-science problems such as earthquake detection, stress monitoring, and hazard forecasting. As a Project Scientist and Lecturer in Machine Learning and AI at UC Riverside, he blends hands-on teaching with active research in time-series clustering, anomaly discovery, inverse modeling, and interpretable ML. He holds a Ph.D. in Geophysics and Seismology and a B.S. in Physics, giving him a strong mathematical and computational foundation that he leverages to bridge computer science and geoscience. Known for creative problem solving, he has collaborated across disciplines to translate theoretical advances into practical monitoring tools. Outside academia he pursues puzzle-driven hobbies—woodworking, chess, and drawing—that mirror his methodological curiosity and attention to detail.
8 years of coding experience
Doctor of Philosophy - PhD, Geophysics and Seismology, Doctor of Philosophy - PhD, Geophysics and Seismology at University of California, Riverside
Bachelor's degree, Physics, Bachelor's degree, Physics at Sharif University of Technology