I am now a Data Scientist, Research at Google. Before that, I got my PhD from UC Berkeley IEOR department. I major in operations research with minors in machine learning and economics. I’m interested in both machine learning and human learning. I’m honored to be advised by Prof. Zuo-Jun (Max) Shen and Prof. Park Sinchaisri. I’m also fortunate to have Prof. Zeyu Zheng as my thesis committee members. Before my PhD, I received my bachelor degree in computer science from The Chinese University of Hong Kong, Shenzhen. I was grateful to be advised by Prof. Zhi-Quan Luo during that time.

I am the co-founder of Sun Never Set Developer Studio, a startup dedicated to empowering college students to develop innovative software solutions for academic institutions. Our project received funding from the Galaxy World CUHKSZ Innovation Center and was honored with the ‘Digital Star’ award by Tencent.

Research Interests

1. Developing data-driven learning algorithms for dynamic decision-making problems in operations;
2. Leveraging large datasets to understand human user behaviors especially on on-demand platforms;
3. Aligning optimization and machine learning algorithms with human behaviors to improve performance and welfare.

Papers

• Optimal Asynchronous Multi-sensor Registration In 3 Dimensions, with Wenqiang Pu, and Zhi-quan Luo, IEEE GlobalSIP 2018, avaliable at here
• Dynamic Repositioning in On-demand Vehicle Rental Systems with Demand Learning, with Hansheng Jiang, Chunlin Sun and Zuo-Jun Max Shen, Review Under Management Science, avaliable at SSRN
• The Double-Edged Sword of AI Player Matchmaking, with Xinyao Chen, Ziling Feng, Gang Guo and Zuo-Jun Max Shen, Review under ACM CSCW 2026
• Learning on the Go: Understanding How Gig Economy Workers Learn with Recommendation Algorithms, with Park Sinchaisri, Minor Revision under ACM CSCW 2025, avaliable at here
• Learning to Gig: Two-Phase Bandits with Arm Agency and Learning, with Park Sinchaisri, Review under AAAI 2026

Teaching

• IEOR 135/290 Data-X, Graduate Student Instructor, 2020 Fall, UC Berkeley
• IEOR 142/242 Introduction to Machine Learning and Data Analytics, Graduate Student Instructor, 2021 Spring, UC Berkeley
• IEOR 250 Supply Chain Management, Graduate Student Instructor, 2021 Fall, UC Berkeley
• IEOR 162 Linear Programming and Network Flows, Graduate Student Instructor, 2022 Spring, UC Berkeley
• IEOR 240 Optimization Analytics, Graduate Student Instructor, 2022 Fall, UC Berkeley

Selected Awards

• Outstanding GSI(Graduate Student Instructor) Award 2021
• National Scholarship 2018

Other Interests

• Psychology (positive psychology, personality psychology)
• Philosophy (I like Nietzsche and Zhuangzi the most!)
• Mindfulness, Meditation
• I randomly write comments/articles about philosophy/psychology/books/events on Zhihu where I have around 3000 subscribers (it’s like Chinese Quora)