Chinmay Hegde
Chinmay Hegde is a researcher in machine learning and algorithms whose work spans imaging, computer vision, graph-structured sparsity, and generative AI. He earned a PhD at Rice University in 2012 under Rich Baraniuk, won the Budd Award for Best Engineering PhD Thesis in 2013, and worked with Piotr Indyk at MIT through July 2015. His 2015 paper on graph-structured sparsity won an ICML Best Paper Award, and after an assistant professorship at Iowa State he joined NYU Tandon as an assistant professor in 2019. In 2024, he coauthored a paper showing how concept-erasure methods for text-to-image models can be bypassed with concept-inversion attacks. As of October 2026, he is an associate professor at NYU Tandon and a co-founder and Chief Scientist of Xcelsa Labs.
- Now at
- New York University and Xcelsa Labs
Timeline
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2012
A PhD at Rice
A native of India, he earns a PhD at Rice University in 2012 under Rich Baraniuk.
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2013–July 2015
A Budd Award and MIT postdoc
He wins the Budd Award for Best Engineering PhD Thesis in 2013. At MIT, he works with Piotr Indyk as a postdoctoral associate in the Theory of Computation group until July 2015.
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2015
ICML Best Paper Award
His paper “A Nearly-Linear Time Framework for Graph-Structured Sparsity” wins an ICML Best Paper Award in 2015.
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2015–2019
Assistant professor at Iowa State
From Fall 2015 until Fall 2019, he is an assistant professor in Iowa State’s Electrical and Computer Engineering Department. His work develops fast, robust algorithms for machine learning and statistical signal processing, with applications in imaging, transportation analytics, and materials informatics.
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2019
Joining NYU Tandon
He joins NYU Tandon in 2019 as an assistant professor in its Computer Science and Engineering and Electrical and Computer Engineering departments.
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2024
Testing text-to-image safeguards
In 2024, he coauthors “Circumventing Concept Erasure Methods for Text-to-Image Generative Models,” showing that seven concept-erasure methods can be bypassed with “concept inversion” attacks against Stable Diffusion.
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July 2026
Semiconductor AI partnership award
In July 2026, he wins the Si2 Power of Partnerships Award as one of the leaders of the LLM Benchmarking Coalition, which works on high-quality LLMs for semiconductor design.
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As of October 2026
NYU and Xcelsa roles
As of October 2026, he is an associate professor with joint appointments in computer science and electrical and computer engineering at NYU Tandon. He is also a co-founder and Chief Scientist of Xcelsa Labs.
Career
- Since 2019New York UniversityAssistant professor
- NowXcelsa LabsCo-founder and Chief Scientist
- 2015–2019Iowa State UniversityAssistant professor
- 2013–2015Massachusetts Institute of TechnologyPostdoctoral associate
Education
- 2012Rice UniversityPhD
Sources and credits
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