Safwan Hossain
Scholar

Safwan Hossain

Google Scholar ID: gyCQnUAAAAAJ
Harvard University
Economics and ComputationMachine LearningGame TheoryOnline Learning
Citations & Impact
All-time
Citations
231
 
H-index
9
 
i10-index
9
 
Publications
19
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • 1 spotlight paper accepted to NeurIPS 2025; won the Google PhD Fellowship in the Algorithms and Optimization track; 1 paper accepted to ICLR 2025; 1 paper accepted to EC 2024; 4 papers accepted to ICML 2024; submission Heartbreak won the ProSocial Ranking Challenge.
Research Experience
  • Worked as a machine learning engineer at Cerebras Systems, building frameworks for running large models on custom accelerators; joined Google Research, working with Renato Paes-Leme and Song Zuo on mechanism design problems in the context of Large Language Models; involved in an academic project with Morgan Stanley Machine Learning Research team on the game-theoretic dynamics of online execution algorithms.
Education
  • PhD student in Computer Science at Harvard, advised by Yiling Chen; Master's degree in Computer Science from the University of Toronto, supervised by Nisarg Shah; Bachelor's degree in Electrical and Computer Engineering from the same institution.
Background
  • Research interests lie at the intersection of economics and computer science, specifically in strategic behavior and incentives that arise in supervised or online multi-agent learning problems. Also interested in computational problems in information design.
Miscellany
  • Enjoys running, biking, reading classic literature, and cooking.