Aditya Mate
Scholar

Aditya Mate

Google Scholar ID: 2yHJIP0AAAAJ
Microsoft New England
Machine LearningSequential Decision MakingReinforcement LearningBanditsProbabilistic
Citations & Impact
All-time
Citations
661
 
H-index
13
 
i10-index
16
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Recipient of the IAAI 2023 Innovative Application Award
  • Second prize at INFORMS 2022 'Doing Good with Good OR' competition
  • Best paper awards at NeurIPS 2021 and NeurIPS 2020 workshops on Machine Learning for Public Health
  • Paper accepted at AAAI 2022: 'Field Study Deploying Restless Bandits in Assisting Non-profits Improve Maternal Health'
  • Paper accepted at AAMAS 2022: 'Efficient Algorithms for Streaming Bandits'
  • Research featured in Harvard newsletter, Google AI blog, and Nature newsletter
  • Selected by India’s Department of Science & Technology to represent India at the International Science School, University of Sydney (2013)
Research Experience
  • Applied Scientist-2 at Microsoft New England, Cambridge MA, July 2023–present, Manager: Dr. Chester Curme
  • Research Intern at Google Research, India, June 2022–Sept 2022, Manager: Dr. Aparna Taneja
  • Student Researcher at Google Research, USA, Nov 2021–April 2022, Managers: Philip Nelson, Dr. Aparna Taneja; awarded a spot bonus for impact
  • Research Intern at IBM Research, Thomas J. Watson Research Center, USA, June 2021–Sept 2021, Manager: Dr. Kush Varshney
  • Research Intern at Google Research, USA, April 2021–June 2021, Manager: Philip Nelson; awarded a peer bonus
  • R&D Intern at Sony Corporation, Tokyo, Japan, May 2016–July 2016, Manager: Yohei Kawamoto
Background
  • Passionate about using AI to solve impactful real-world problems
  • Research interests include Machine Learning, Sequential Decision Making, and Causal Inference
  • Ph.D. research focuses on applying restless multi-armed bandits, learning, and causal inference to public health challenges
  • Developed novel algorithms for tuberculosis prevention and improving maternal & child health
  • Committed to real-world deployment; as of early 2023, his system has assisted over 100,000 enrolled mothers in partnership with an NGO