Agniva Chowdhury

Mountain View Welcome to my Homepage!

I am a Postdoctoral Associate in the Department of Computer Science at Rice University, working with Prof. Anshumali Shrivastava. Previously, I was an AI Research Scientist at Intel Corporation and a Postdoctoral Research Associate in the Computer Science and Mathematics Division at Oak Ridge National Laboratory. I received my Ph.D. in Statistics from Purdue University, where I was advised by Prof. Petros Drineas and Prof. Hao Zhang.

My research focuses on randomized numerical linear algebra, scalable optimization, and efficient algorithms for large-scale machine learning and scientific computing. I design sketching-based methods to accelerate large-scale statistical and more general linear algebraic problems with provable guarantees. More recently, I have been working on scalable attention mechanisms and efficient long-context training and inference algorithms for large language models.


News and Updates
  • 01/2026: Paper accepted in ICLR 2026.

  • 09/2025: Joined Rice University as Postdoctoral Associate.

  • 07/2024: Joined Intel as AI Research Scientist.

  • 02/2024: Paper accepted in CVPR 2024.

  • 12/2023: Paper accepted in AAAI 2024.

  • 09/2022: Paper accepted in JMLR.

  • 05/2022: Paper accepted in ICML.

  • 03/2022: Paper accepted in RECOMB.

  • 01/2022: Joined ORNL as a Postdoc.

  • 11/2021: Defended my PhD.

  • 09/2020: Paper accepted in NeurIPS.