Oleg Korobkin is a technology leader and physicist turned CTO with over a decade of experience bridging high-performance scientific computing and applied AI. He spent many years at Los Alamos National Laboratory as a staff scientist and postdoctoral fellow, applying numerical relativity, CUDA/OpenCL and particle hydrodynamics to problems like neutron star mergers, GRB accretion disks, and r-process nucleosynthesis. Now leading technology at SlicAI, he combines deep domain expertise in tensor-network data compression and scientific ML with hands-on systems experience to move research-grade simulations toward production. Trained at MIPT and holding a PhD from LSU, he brings rare fluency across analytic theory, scalable GPU code, and machine learning—often applying compact multidimensional representations to make large-scale physics tractable. An uncommon detail: his work focuses not just on accuracy of simulations but on compact, tensor-train representations that reduce data complexity for downstream AI workflows.
10 years of coding experience
7 years of employment as a software developer
Ph.D., Physics, General, Ph.D., Physics, General at Louisiana State University
M.S., Applied Physics and Maths, M.S., Applied Physics and Maths at Moscow Institute of Physics and Technology (State University) (MIPT)
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Oleg Korobkin - Staff Scientist at Los Alamos National Laboratory