Arindam Banerjee
Arindam Banerjee is a computer scientist who applies statistical machine learning to climate science and ecology. He completed a PhD at the University of Texas at Austin in 2005. Clustering with Bregman Divergences, a 2005 paper he co-wrote with Srujana Merugu, Inderjit Dhillon, and Joydeep Ghosh, generalized k-means to a large class of loss functions. The ACM named him a 2024 Fellow for contributions to advances in statistical machine learning and its applications in science. As of October 2026, he is a computer science professor at the University of Illinois Urbana-Champaign who holds a Founder Professorship.
- Works
- 201
- Citations
- 26,188
- h-index
- 47
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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1997–2005
A PhD at UT Austin
He earns a Bachelor of Engineering at Jadavpur University in 1997 and a Master of Technology at the Indian Institute of Technology, Kanpur, in 1999. He completes a PhD at the University of Texas at Austin in 2005.
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2005
Clustering with Bregman divergences
He writes Clustering with Bregman Divergences in 2005 with Srujana Merugu, Inderjit Dhillon, and Joydeep Ghosh. The paper generalizes the classical k-means method to a large class of clustering loss functions.
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2010–2013
NSF CAREER and IBM awards
He receives an NSF CAREER award in 2010 and an IBM Faculty Award in 2013.
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2022
TorchGeo for geospatial data
He helps develop TorchGeo, a PyTorch domain library for geospatial data. The paper appears at ACM SIGSPATIAL in 2022.
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2024
Named an ACM Fellow
ACM names him a 2024 Fellow for contributions to advances in statistical machine learning and its applications in science.
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2025
President of the AISTATS society
In 2025 he serves as president of the society that runs the annual AISTATS conference.
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As of October 2026
A Founder Professorship at Illinois
In 2025 he is a computer science professor at the University of Illinois Urbana-Champaign with a Founder Professorship in Engineering. He applies machine learning to climate science and ecology.
Sources and credits
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