adityaI am a third year Ph.D. student in the Teamcore research group at Harvard University, studying Computer Science and advised by Prof. Milind Tambe.

In my research, I am driven to design impactful and clever solutions to challenging real-world problems, using Artificial Intelligence. Specifically I'm interested in leveraging AI tools such as Machine Learning, Online Learning / Reinforcement Learning, Bandits, Probabilistic Modeling and Decision Making. 

My current PhD research revolves around using AI for public health. My recent work (NeurIPS'20 and AAMAS'21 papers) involved designing planning algorithms for health workers managing and monitoring Tuberculosis (TB) patients. The algorithm would recommend to them each day, which patients they must intervene on, so as to maximize the health outcomes of their patient cohort.

[CV] [Publications] [LinkedIn] [Google Scholar] [Personal Page] [email]

Prior to joining Harvard, I graduated with a B.Tech and M.Tech (Integrated dual degree) in Electrical Engineering from Indian Institute of Technology (IIT), Bombay

Previously, I have spent Summer 2016 interning at the Advanced Technology group at Sony Corp., Tokyo, working on using sensor fusion and machine learning in smart watches for mood sensing applications. I have also interned at NTU, Taiwan (2017) and spent a year at USC in Los Angeles (2018-2019) as an Annenberg Fellow. Previously, I have also represented India at the International Science School at Univeristy of Sydney, Australia (2013).  I love traveling, and apart from visiting/living in these cities mentioned above (Boston, LA, Tokyo, Taipei, Sydney), I'm fortunate that life has also taken me to Singapore, China, Malaysia, Hong Kong, Macao, Indonesia and Mauritius.


  • June 2021: I'll be a Research Intern at IBM Thomas J. Watson Research Center as a 'Science for Social Good Fellow' from June — September! 
  • April 2021: I'll be a Research Intern at Google Research US from April — June! 
  • March 2021: Co-organizing the Harvard CRCS Rising Stars Speaker Series
  • December 2020:
    • Our paper on "Risk-Aware Intervention Planning using Restless Bandits" accepted to AAMAS 2021!
    • Presented our paper on "Collapsing Bandits" at NeurIPS 2020 [paper] [code] [talk]
  • November 2020: Passed my Ph.D. qualifying exam! Looking forward to next milestones and more impactful research!
  • October 2020: Presented at Computational Sustainability DC 2020, our recent research on "Collapsing Bandits" (NeurIPS-20) jointly with co-first author,  Jackson A. Killian [talk]
  • September 2020:  Our paper on "Collapsing Bandits" accepted to NeurIPS-2020! [arxiv]

Contact Info:

Harvard University
Maxwell Dworkin MD 213
33 Oxford Street,
Cambridge, MA 02143
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