• March 2026: Successfully defended my PhD thesis!
• Feb 2026: Our paper, Last-iterate Convergence for Symmetric, General-sum, 2×2 Games Under The Exponential Weights Dynamic got the best student paper award at ALT 2026! This work was led by Guanghui Wang
• September 2025: Joined Amazon as an Applied Scientist Intern in the Pricing Science team this Fall — working on grounded LLM explainability for pricing decisions.
• June 2025: Our paper GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation is accepted at the Online and Adaptive Recommendation workshop at KDD 2025!
• May 2025: Joined Pinterest as a Machine Learning Engineer Intern on the Ads Candidate Generation team.
• Feb 2024: Our paper on Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems is accepted at TMLR!
• Jan 2024: Our paper on Improving Minimax Group Fairness in Sequential Recommendation is accepted at ECIR 2025! This is work from my Amazon internship.
• May 2024: Our paper on One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits is accepted at UAI 2024.
• April 2024: Successfully proposed my Ph.D. thesis!
• March 2024: My paper on Personalized Differential Privacy for Ridge Regression is accepted at the ICLR 2024 workshop on Privacy regulation and protection.
• Jan 2024: My paper on Oracle Efficient Efficient Algorithms for Groupwise Regret is accepted at ICLR 2024!
• May 2023: Passed my Ph.D. qualifying exam.