I work as a postdoc for Prof. Emma Brunskill at Stanford University. My research interests are mostly at the intersection of reinforcement learning and machine learning, specifically on the sub-topics related to continual learning, non-stationarity, safety, off-policy data, and other challenges stemming from real-world applications in education and healthcare.
I received my PhD at the University of Massachusetts, where I was a member of the Autonomous Learning Lab (ALL) and was fortunate to be advised by Prof. Philip Thomas.
Service
Journals
Reviewer: JMLR (2021-23), MLJ (2022-23), AIJ (2023)
Conferences
Reviewer: ICML (2019-23), NeurIPS (2019-22), ICLR (2022), TMLR (2022-23), CoLLAs (2022)
Timeline
| 2022
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Postdoc at Stanford University.
Advised by Prof. Emma Brunskill.
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| 2022
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Completed my PhD in Computer Science from the University of Massachusetts Amherst.
Advised by Prof. Philip Thomas.
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| 2022
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Intern at Google DeepMind, London.
Advised by Diana Borsa, Mohammad Gheshlaghi Azar, Will Dabney, and Prof. Remi Munos.
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| 2020
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Completed my Master's in Computer Science (with Distinction) from the University of Massachusetts Amherst.
Advised by Prof. Philip Thomas.
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| 2019
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Intern at Adobe Research, San Jose.
Advised by Georgios Theocharous and Prof. Sridhar Mahadevan.
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| 2018
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Intern at Adobe Research, San Jose.
Advised by Georgios Theocharous.
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| 2017
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Completed my Bachelor's in Computer Science from the Vellore Institute of Technology, Chennai.
Advised by Prof. Nithya Darisini.
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| 2017
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Intern at the Indian Institute of Technology, Madras.
Advised by Prof. Balaraman Ravindran.
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| 2016
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Intern at the University of Technology Troyes, France.
Advised by Prof. Babiga Birregah.
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| 2016
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Intern at the Defence Research & Development Organisation (IRDE, DRDO).
Advised by J.P. Singh.
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| 2015
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Part of The Aspiring Researcher Challenge, an initiative by professors from University of California and Stanford.
Advised by Prof. James Davis and Rajan Vaish.
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| 2013
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Played at the National level for the Basketball Federation of India.
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