Headshot of David Trebotich
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David Trebotich

  • Research Affiliate, ICSI
  • Staff Scientist, Lawrence Berkeley National Laboratory

Biography

David Trebotich, PhD, is a Research Affiliate at ICSI and Staff Scientist in the Applied Numerical Algorithms group at Lawrence Berkeley National Laboratory. 

An expert in computational fluid dynamics (CFD) and high performance computing, Dr. Trebotich’s research has involved end-to-end conception, development, and analysis of advanced algorithms for scalable, high-resolution simulation of complex flows in multiscale, multiphysics systems. His current research goals include combining AI/ML-driven decision making with PDE-based simulation to develop stochastic AMR for adaptive modeling, as well as new application code development in energy storage and manufacturing. His recent work has focused on pore scale applications with multiphysics coupling on GPUs ranging from geological (subsurface) to engineering and manufacturing (energy storage). 

Dr. Trebotich’s simulations have achieved unprecedented scale and resolution on DOE supercomputers for flow and transport problems in complex, heterogeneous systems including a CFD simulation of nearly one half trillion degrees of freedom, the largest CFD simulation in complex geometry to date. He is the original developer of the suite of application codes known as Chombo-Crunch, which simulates flow, transport, and reactions in heterogeneous media based on a novel adaptive embedded boundary algorithm Dr. Trebotich developed for solving flow and transport PDEs in arbitrarily complex geometry. 

He was previously a Staff Scientist at the Lawrence Livermore National Laboratory and a postdoc at UC Berkeley after completing his PhD at UC Berkeley.

Publications

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