Mark Koren
Software Engineer at NVIDIA
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolMark Koren is a software engineer at NVIDIA with 11 years of experience applying machine learning and simulation to safety validation for autonomous vehicles. He holds a PhD from Stanford Aeronautics & Astronautics focused on validating autonomous agents in safety-critical domains using deep learning and reinforcement learning, and transitioned that research into production tools at NVIDIA. His background spans aerospace engineering, video compression leadership as a chief engineer, and applied data science at Uber ATG, giving him a rare blend of simulation, perception, and systems experience. Based in San Jose, he pairs rigorous academic training with hands-on engineering to build dependable validation infrastructure that closes the gap between research and deployed autonomy.
10 years of coding experience
9 years of employment as a software developer
Bachelor's Degree, Computer Science, 4.0, Bachelor's Degree, Computer Science, 4.0 at University of AlabamaMaster’s Degree, Aerospace, Aeronautical and Astronautical Engineering, Master’s Degree, Aerospace, Aeronautical and Astronautical Engineering at Stanford University
Stackoverflow
21reputation
306reached
2answers
1question
Github Skills (18)
toolbox9
policies9
validation9
journal7
open-access7
xml6
android-listview6
android-viewpager6
android6
android-layout6
android-fragments6
java6
academia6
creative-commons5
stress-testing5
Programming languages (1)
Github contributions (5)
mark-koren/GANs_For_Adaptive_Stress_Testing
Apr 2017 - Jun 2017
Contributions:43 commits, 41 pushes, 1 branch in 2 months
mark-koren/DRL-AST
Jun 2017 - Jan 2021
Deep Reinforcement Learning for Adaptive Stress Testing
Contributions:68 commits, 2 PRs, 76 pushes in 3 years 7 months
stress-testingadaptivereinforcement-learningtestingdeep-reinforcement-learning
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