Aditya Mate

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Education

I recently graduated with a Ph.D. in Computer Science from Harvard University, 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).

Selected Industry Experience

• Microsoft, Cambridge MA
  Applied Scientist-2 | 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
  
  
  

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).