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This page has been last updated August 2023, please check out my personal page for more recent updates.


adityaI am an Applied Scientist-2 in the MAIDAP program at Microsoft New England. 

Education

I recently graduated with a Ph.D. in Computer Science from Harvard, advised by Prof. Milind Tambe. I also hold a B.Tech and M.Tech (integrated dual degree) from the Indian Institute of Technology, Bombay (IIT Bombay).

Research

I'm excited about using AI to solve impactful real-world problems, using techniques from Machine Learning, Sequential Decision Making and Causal Inference. My Ph.D. research focuses on application of AI techniques from restless multi-armed bandits, learning and causal inference for tackling public health challenges. I've built novel algorithms for solving fundamental computational challenges in real-world contexts such as in tuberculosis prevention and improving maternal & child health. Transcending traditional research boundaries, I've strived to deploy my research in the real world, which for example, as of early 2023, has assisted >100,000 mothers enrolled in this system with our partner NGO.

Awards

I'm very honored to have my research recognized by the "IAAI 2023 Innovative Application" award. My research has also won the second prize at the "INFORMS 2022 Doing Good with Good OR competition". My work has also won best paper awards at NeurIPS 2021 and NeurIPS 2020 workshops on machine learning for public health and has also appeared in the Harvard newsletter, has featured on the Google AI blog and in the Nature newsletter. In the past, I have 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).

Full list of publications is here.

Selected Industry Experience
 

  • Microsoft, New England, Cambridge MA
    Applied Scientist | Manager: Dr. Chester Curme
    July 2023 — Present
     

  • 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


NEWS:

  • July'23: Excited to have joined Microsoft New England as an applied scientist-2 to work on impactful AI challenges!
  • May'23: I successfully defended my Ph.D. at Harvard!  
  • Nov'22: Very honored to have won second place at the INFORMS  "Doing Good with Good OR'' student paper competition!
  • June'22:  Research internship at Google! Delighted to return to Google for another fun summer of research with the AI4SG team!
  • Dec'21: Accepted to AAAI 2022! Our paper presents a first-of-its-kind real-world study evaluating on Restless Bandits for a maternal healthcare application.
  • Dec'21: Accepted to AAMAS 2022! Our paper presents efficient planning algorithms for ``Streaming Bandits" --- when new arms arrive and existing arms leave the system.
  • Nov'21: Returning to  Google Research! Excited to be returning as a "Student Researcher" and looking forward to pushing out exciting, impactful research!
  • June'21: Research internship at IBM! I'll be a research Intern at IBM Thomas J. Watson Research Center as a 'Science for Social Good Fellow' from June — September! 
  • April'21: Research internship at Google! I'll be a Research Intern at Google Research US from April — June! 
  • Dec'20: Accepted to AAMAS 2021! We present algorithms for risk-aware intervention planning and present strong theoretical guarantees.
  • Sept'20:  Accepted to NeurIPS 2020! Our paper presents "Collapsing Bandits",  a new Restless Bandit subclass for planning public health interventions. [paper] [code] [talk]

 

More About Me:
 

I love traveling and exploring new countries and am very grateful that life has taken me to Japan, Taiwan, Australia, Singapore, China, Malaysia, Hong Kong, Macao, Indonesia, Mauritius and now, United States (besides my hometown, India, of course) and am working on extending this list!