Experience

Industry Experience

Roblox

Ads Delivery Team, San Mateo, CA, USA
Applied Scientist Intern. Jun. 2026 – Sep. 2026

Developed a Thompson‑sampling‑based dynamic creative optimization framework for ads retrieval, balancing exploration–exploitation while mitigating A/B‑test data leakage; improved predicted play‑through rate (PTR) by 8.14% offline with 0.2% added latency.
Launched to Roblox’s production sponsored ads system after an online A/B test: PTR +1.4%, CTR +1.3%, CPP −0.3%, ads value +1.4%.

TikTok

TikTok Live Data BP Team, San Jose, CA, USA
Software Engineering Intern. Sept. 2025 – Dec. 2025

Worked on LLM-based data agents for business intelligence and large-scale analytics.
Built scalable analytics workflows and decision-support tools.

JD.com

Ads Mechanism Team, Beijing, China
Machine Learning Research Intern. Jun. 2025 – Sept. 2025

Conducted research on auto-bidding algorithms under ROS constraints.
Developed uncertainty-aware bidding methods for online advertising systems.
Resulted in a WWW 2026 oral paper.

Academic Experience

Research Assistant at UCLA

Graduate Student Researcher, supervised by Prof. Yuhua Zhu, Aug. 2024 – Present

Research topics include reinforcement learning and variance reduction methods.

Teaching Assistant at UCLA

STATS 10: Introduction to Statistical Reasoning (2024 Spring, 2024 Summer)
STATS 100A: Introduction to Probability (2025 & 2026 Spring)
STATS 102A: Introduction to Statistical Programming with R (2026 Winter)
STATS 102C: Introduction to Monte Carlo Methods (2026 Fall)
STATS 13: Introduction to Statistical Methods for Life and Health Sciences (2024 Winter, 2025 Winter)
STATS 112: Statistics: Window to Understanding Diversity (2024 Fall)

Professional Services

Reviewer

Journal of Machine Learning Research (JMLR), 2024
AAAI 2026, 2027
NeurIPS 2026

Invited Talks

SICSS-UCLA, Introduction to Optimal Auction Design, 2023