Summary
Piyoosh Jaysaval is a Senior Data and Computational Scientist with eight years of experience specializing in large-scale geophysical modeling, inversion, and exascale high-performance computing. Based at Pacific Northwest National Laboratory, he develops and applies joint seismic, electrical, and electromagnetic inversion methods—including full-waveform and controlled-source EM—to couple flow, transport, and geophysical models. His work blends deep learning with physics-driven simulation to accelerate forward modeling and inversion for CSEM and MT problems, scaling to massively parallel systems. A PhD in Computational Geophysics from the University of Oslo and prior postdoctoral work at UT Austin underpin his ability to translate research-grade algorithms into production-capable HPC codes. Notably, he bridges domain expertise and software engineering, bringing uncommon fluency in both geophysical theory and exascale implementation.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Computational Geophysics (Electromagnetic), Doctor of Philosophy (PhD) Computational Geophysics (Electromagnetic) at University of Oslo
Indian Institute of Technology Roorkee
B.Sc.(Honors) Physics, B.Sc.(Honors) Physics at Hindu College, University of Delhi
English, Norwegian, Hindi