Tianyi Lin
Scholar

Tianyi Lin

Google Scholar ID: juW6t-AAAAAJ
Columbia University
Game TheoryMachine LearningOptimizationOptimal Transport
Citations & Impact
All-time
Citations
3,038
 
H-index
27
 
i10-index
35
 
Publications
20
 
Co-authors
31
list available
Contact
Resume (English only)
Academic Achievements
  • Publications: 'Stepwise guided policy optimization: Coloring your incorrect reasoning in GRPO' (coauthored with Peter Chen, Xiaopeng Li, Ziniu Li, Xi Chen); 'ComPO: Preference alignment via comparison oracles' (coauthored with Peter Chen, Xi Chen, Wotao Yin), accepted to NeurIPS 2025; 'Two-timescale gradient descent ascent algorithms for nonconvex minimax optimization' (coauthored with Chi Jin, Michael I. Jordan), accepted to Journal of Machine Learning Research.
Research Experience
  • Postdoctoral researcher at the Laboratory for Information & Decision Systems (LIDS) at Massachusetts Institute of Technology from 2023 to 2024.
Education
  • Ph.D. in Electrical Engineering and Computer Science from UC Berkeley, advised by Professor Michael I. Jordan; Postdoctoral researcher at LIDS, MIT, working with Professor Asuman Ozdaglar; M.S. in Pure Mathematics and Statistics from the University of Cambridge; M.S. in Operations Research from UC Berkeley; B.S. in Mathematics from Nanjing University.
Background
  • Research interests: optimization and machine learning, game theory, social and economic networks, and optimal transport. Brief introduction: Assistant Professor in the Department of Industrial Engineering and Operations Research (IEOR) at Columbia University.