Praneeth Netrapalli


I am a research scientist at Google Research India, Bengaluru. I am also an adjunct professor at TIFR, Mumbai and a faculty associate of ICTS, Bengaluru. Prior to this, I was a researcher at Microsoft Research India for 4.5 years and did my postdoc at Microsoft Research New England in Cambridge, MA. I obtained my MS and PhD in ECE from UT Austin where I was fortunate to be advised by Sujay Sanghavi. Before coming to UT, I worked in the Quantitative Analysis group at Goldman Sachs, Bangalore. I obtained my B-Tech in Electrical Engineering from IIT Bombay.

Honors and awards:

  • INSA Medal for Young Scientists, 2021

  • IEEE Signal Processing Society Best Paper Award 2019

  • Associate of Indian Academy of Sciences (IASc) 2019-2022

Research Interests

My research interests are broadly in stochastic and nonconvex optimization, quantum optimization, minimax/game theoretic optimization, online learning and designing reliable and robust machine learning algorithms enabled by a deeper understanding of deep learning.

Google Scholar     DBLP     arXiv

News and announcements

  • I will be giving a colloquium at TIFR-CAM on Nov 2nd, 2021.

  • Together with IKDD, we are organizing a NeurIPS 2021 social around ML career opportunities in India across academia and industry. More details here.

  • Five papers accepted to NeurIPS 2021.

  • I have moved to Google Research India!

Professional service

On the program committee/area chair: NeurIPS 2019-21, COLT 2019-21, ICLR 2021, ICML 2019, 2021, AISTATS 2019.

Selected publications

* indicates alphabetical ordering of author names. Please see here for all publications.


Contact details

  • Address: Google India Pvt. Ltd., RMZ Infinity, No. 3, Swami Vivekananda Rd, Sadanandanagar, Bennigana Halli, Bengaluru, Karnataka 560016, India.

  • E-mail: pnetrapalli [at] google [dot] com