Gal Dalal

Senior Research Scientist at NVIDIA

Israel
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Summary

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Senior
🎓
Top School
Gal Dalal is a Senior Research Scientist with a PhD in reinforcement learning and a decade of experience translating cutting-edge ML research into production-grade systems. Currently at NVIDIA, he publishes in top venues (NeurIPS, ICML, ICLR), files patents on RL-driven systems for congestion control, GPU cache/power, and efficient tree search, and mentors the next generation through volunteer AI education. Previously he co-founded an AI startup that was acquihired into Ford/SAIPS, where he helped build simulation and RL driving policies for L3/L4 vehicles, and interned at DeepMind on safe RL for datacenter cooling. Technion-trained summa cum laude with an exchange stint at Carnegie Mellon, he blends deep theoretical rigor with practical impact across industry and research. Notably, his work spans both academic publication and applied IP, reflecting a rare ability to move RL from papers into deployed systems.
code10 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science (BSc), Electrical and Electronics Engineering, Summa cum laude, 95.3 GPA. Formal class ranking: #3 out of 180 EE students., Bachelor of Science (BSc), Electrical and Electronics Engineering, Summa cum laude, 95.3 GPA. Formal class ranking: #3 out of 180 EE students. at Technion - Israel Institute of Technology
bookExchange student, Electrical and Computers Engineering, 4.0 GPA, Exchange student, Electrical and Computers Engineering, 4.0 GPA at Carnegie Mellon University
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Github Skills (18)

markov9
policies6
agent5
r2d25
seed5
pytorch4
reinforcement-learning4
proximal-policy-optimization3
architecture3
sac3
gcp3
inference2
scalable2
impala2
deep-reinforcement-learning2

Programming languages (2)

SCSSPython

Github contributions (5)

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galdl/outage_scheduling

Jul 2016 - Oct 2017

Contributions:39 commits, 25 pushes, 1 branch in 1 year 3 months
galdl/icml16_iapi

May 2016 - Sep 2016

Contributions:16 commits, 15 pushes, 1 branch in 4 months
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