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


adityaEducation

I am a fifth-year Ph.D. student at Harvard, 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).

Research

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 built sequential decision making algorithms in context of real-world application domains, such as for tuberculosis prevention and for improving maternal & 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 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).

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


NEWS:

  • 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: Grateful to receive the Best Paper Award at the NeurIPS 2021 workshop on ML for Public Health (MLPH)!
  • 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.
  • Dec'21: Very grateful to have been awarded a spot bonus by Google  for impact throughout 2021, recognizing “hard work, dedication, talent and creativity". 
  • 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: I'm grateful to have been awarded a peer bonus for my "tremendous efforts and contributions" during my summer internship at Google 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]

Contact Info:

Harvard University
Science and Engineering Complex (SEC)
150 Western Avenue,
Boston, MA 02143
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