Alex Gabourie
CTO Co-Founder at DeepSim, Inc.
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolAlex Gabourie is a CTO and co-founder with 11 years of engineering experience who blends deep academic research in thermal transport of 2D materials with product-driven physics simulation startup leadership in Palo Alto. At Stanford he developed atomistic models of heat flow across realistic interfaces, and he brings that domain expertise to DeepSim, a DARPA- and YC-backed startup building high-performance simulation tools. Alex pairs hands-on HPC and molecular dynamics coding (notably contributions to the GPUMD repo optimizing force calculations and modal analysis) with applied machine learning to accelerate and improve physical models. Comfortable moving between research, engineering and customer discovery, he has a track record of shipping performant simulation systems and creating novel transfer-learning methods for small-data scientific problems.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Electrical Engineering, Bachelor of Science (B.S.), Electrical Engineering at University of Wisconsin-MadisonDoctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at Stanford University
Github Skills (11)
cuda10
c-language10
molecular-dynamics-simulation10
cprogramming-language10
molecular-simulation10
nonlinear-dynamics10
data-structure9
performance-optimization9
algorithm9
data-structures9
algorithms9
Programming languages (3)
Github contributions (5)
brucefan1983/GPUMD
Dec 2018 - Feb 2021
Graphics Processing Units Molecular Dynamics
Role in this project:
Back-end Developer
Back-end DeveloperContributions:136 commits, 25 PRs, 41 comments in 2 years 2 months
Contributions summary:Alex made significant contributions to the `gpumd` repository, primarily focused on implementing and optimizing molecular dynamics simulations. Their work involved updating data structures for Shared Heat Conduction (SHC) implementations and introducing new data structures for interatomic potential energy calculations. The user also added modal analysis features by modifying code related to thermal expansion and density of states. They actively modified the main force calculations and implemented multiple adjustments to improve performance in the computations.
graphicmolecular-dynamics-simulationheat-transportcudamolecular-dynamics
AlexGabourie/thermo
Mar 2018 - Jul 2022
GPUMD and LAMMPS helper functions for thermal computations
Contributions:3 releases, 218 commits, 11 PRs in 4 years 4 months
lammpsthermalgpumd
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