Gal Chechik
Gal Chechik is a professor at Bar-Ilan University who leads NVIDIA's AI research in Israel. He completed a PhD at the Hebrew University of Jerusalem in 2004, then joined Google research in 2007 to work on large-scale machine learning for perception and search. In October 2018 he joined NVIDIA as director of AI research. His 2020 paper On Learning Sets of Symmetric Elements, co-written with Haggai Maron, Or Litany and Ethan Fetaya, won an ICML Outstanding Paper award. In 2025 he co-wrote MaskedManipulator, a paper on versatile whole-body control for loco-manipulation that appears at SIGGRAPH Asia 2025.
- Now at
- NVIDIA and Bar-Ilan University
- Works
- 291
- Citations
- 7,916
- h-index
- 45
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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2004
A PhD on auditory coding
He completes a PhD at the Hebrew University of Jerusalem in 2004, with a dissertation on information-theoretic analysis of auditory coding.
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2007
Machine learning at Google
After postdoctoral work at Stanford, he joins Google research in 2007 to work on large-scale machine learning for perception and search.
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2009
A learning systems lab at Bar-Ilan
He joins Bar-Ilan University's Gonda brain research center in 2009 and heads the learning systems lab there.
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October 2018
Director of AI research at NVIDIA
He joins NVIDIA in October 2018 as director of AI research to lead its work in Israel.
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2020
An ICML Outstanding Paper
At ICML 2020, On Learning Sets of Symmetric Elements, which he co-wrote with Haggai Maron, Or Litany and Ethan Fetaya, wins an Outstanding Paper award.
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December 2024
MaskedMimic at SIGGRAPH Asia
In December 2024 he presents MaskedMimic, a paper on unified physics-based character control, at SIGGRAPH Asia 2024.
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2025
Versatile whole-body control
In 2025 he co-writes MaskedManipulator, a paper on versatile whole-body control for loco-manipulation, which appears at SIGGRAPH Asia 2025.
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As of October 2026
Heading NVIDIA's research in Israel
He is a director of AI at NVIDIA who leads its research in Israel, and he is also a professor at Bar-Ilan University. He co-writes an AAAI 2026 paper on detecting hallucinations in large language models.
Sources and credits
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