Aditya Mate

Ph.D. student at Harvard | Previously: B.Tech & M.Tech, IIT Bombay

Curriculum Vitae [CV]

I'm on the job market starting Spring 2023, looking for industry research positions!


I am a fifth-year Ph.D. student at Harvard University, studying Computer Science, advised by Prof. Milind Tambe. Previously, I graduated with a B.Tech and M.Tech (dual degree) from the Indian Institute of Technology, Bombay (IIT Bombay).


I'm excited about using AI to solve impactful real-world problems, specifically using techniques from Machine Learning and Sequential Decision Making, such as Bandits/Restless Bandits, Reinforcement Learning or Probabilistic Modeling. Recently, I've also been fascinated by and started exploring causal inference!

My Ph.D. research focuses on using these AI techniques for tackling public health challenges. I've developed sequential decision-making algorithms in the context of real-world application domains, such as for tuberculosis prevention and for improving maternal and child health. Full list of publications is here.

Selected Industry Experience

  • Google Research, India
    Research Intern | Manager: Dr. Aparna Taneja
    June 2022 — Sept 2022

  • Google Research, USA
    Student Researcher | Managers: Philip Nelson, Dr. Aparna Taneja
    Awarded a spot bonus for impact in 2021, recognizing “hard work, dedication, talent, and creativity”.
    Nov 2021 — April 2022

  • IBM Research, Thomas J. Watson Research Center, USA
    Research Intern | Manager: Dr. Kush Varshney
    June 2021 — Sept 2021

  • Google Research, USA
    Research Intern | Manager: Philip Nelson
    Awarded a peer bonus for “tremendous efforts and contributions” during the internship
    April 2021 — June 2021

  • Sony Corporation, Tokyo, Japan
    R&D Intern | Manager: Yohei Kawamoto
    May 2016 — July 2016

More About Me

I recently won the INFORMS "Doing Good with Good OR" student paper runner-up award for work utilizing Restless Bandits for improving maternal healthcare!

I've also been selected to represent India by Dept. of Science & Technology, Govt. of India at the International Science School at the University of Sydney, Australia (2013).

I also love traveling and exploring new countries and am very grateful that apart from the US, life has also taken me to Japan, Taiwan, Australia, Singapore, China, Malaysia, Hong Kong, Macao, Indonesia, and Mauritius (besides my home country, India).


  • November 2022: Very honored to have won second place at INOFRMS "Doing Good with Good OR" student paper competition!

  • May 2022: I'll be joining Google Research India as a Research Intern from June to September! 🙂

  • December 2021 🎁 🍾:

    • Our paper on a "Field Study Deploying Restless Bandits in Assisting non-profits improve Maternal Health" accepted at AAAI 2022! [paper]

    • Grateful to receive the Best Paper Award at the NeurIPS 2021 workshop on ML for Public Health for our paper on "Restless Bandits in the Field..."!

    • Our paper on "Efficient Algorithms for Streaming Bandits" accepted at AAMAS 2022! [paper]

    • Very grateful to have been awarded a spot bonus by Google for impact throughout 2021, recognizing my “hard work, dedication, talent and creativity"!

  • November 2021: I'm excited to be returning to Google Research as a "Student Researcher" and looking forward to pushing out exciting, impactful research!

  • June 2021: I'm grateful to have been awarded a peer bonus for my "tremendous efforts and contributions" during my summer internship at Google Research! 😊

  • June 2021: I'll be a research intern at IBM Thomas J. Watson Research Center as a 'Science for good fellow' from June — September

  • April 2021: I'll be a research intern at Google Research US this summer, from April — June

  • December 2020: Our paper on "Risk-Aware Intervention Planning using Restless Bandits" accepted to AAMAS 2021!

  • September 2020: Our paper on "Collapsing Bandits" accepted to NeurIPS-2020! [arxiv]



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Boston, MA 02134