Jiale Han
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Ph.D. Candidate
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About Me
Hi, I am a fourth-year Ph.D. candidate in the Department of Statistics and Data Science at UCLA, advised by Prof. Xiaowu Dai. Before joining UCLA, I received my B.S. in Mathematics from University of Chinese Academy of Sciences. I am a member of the Lab for Statistics, Computing, Algorithms, Learning, and Economics (SCALE) at UCLA.
My research focuses on machine learning and mechanism design for large-scale online platforms, with applications to advertising systems, marketplaces, reinforcement learning, and large language models. My recent work studies auto-bidding algorithms, auction design under uncertainty, experience replay methods in reinforcement learning, and game-theoretic problems in LLM systems.
🚀 Open to full-time opportunities in Applied Science, Machine Learning, and AI research for 2027. Feel free to reach out for my CV.
Research Interests
Machine Learning for Advertising and Marketplaces
Auction and Mechanism Design
Reinforcement Learning
Uncertainty Quantification
Large Language Models
Statistical Machine Learning
News
03/2026: Paper on robust multi-item auction design accepted to the ICLR 2026 Workshop on AI for Mechanism Design and Strategic Decision Making.
01/2026: Paper on auto-bidding under return-on-spend constraints accepted to WWW 2026 (Oral), conducted during my summer internship at JD.com.
11/2025: Paper on variance reduction via experience replay accepted to AAAI 2026 (Oral).
10/2025: Paper on distribution-free uncertainty quantification for online auction design accepted to JASA.
09/2025: Collaborative work on truthful language models accepted to NeurIPS 2025.
Honors & Awards
Most Promising Statistician Award, UCLA Department of Statistics (2 recipients annually), 2023.
Summer Mentored Research Fellowship, UCLA, 2023.
Overseas Graduate Studies Fellowship, UCAS (Top 5%), 2021.
Tang-Lixin Outstanding Student Leader Scholarship, UCAS (1 recipient per department annually), 2020.
Outstanding Student Leader, UCAS (1 recipient per department annually), 2019.
Industry Experience
Roblox
Ads Delivery Team, Applied Scientist Intern, Summer 2026
Working on dynamic creative optimization for ads retrieval.
TikTok
Live Data BP Team, Software Engineering Intern, Fall 2025
Worked on LLM-based data agents for business intelligence and large-scale analytics.
JD.com
Ads Mechanism Team, Machine Learning Research Intern, Summer 2025
Conducted research on auto-bidding algorithms for large-scale advertising systems.
Education
Ph.D. in Statistics, University of California, Los Angeles (UCLA), 2022 – 2027
Visiting Student in Engineering, Columbia University, 2021
B.S. in Mathematics, University of Chinese Academy of Sciences (UCAS), 2018 – 2022