I’m now a sixth-year PhD candidate at the 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.

Current 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 machine learning algorithms with human behaviors to improve performance and welfare.

Publication

Shunan Jiang, Wenqiang Pu, Zhi-quan Luo. Optimal Asynchronous Multi-sensor Registration In 3 Dimensions. IEEE GlobalSIP 2018.

Working Papers

• Dynamic Repositioning in On-demand Vehicle Rental Systems with Demand Learning, with Hansheng Jiang, Chunlin Sun and Zuo-Jun Max Shen, avaliable at SSRN
• Creating Pseudo-users in Platform Launch: Insights from a Gaming Company, with Gang Guo and Zuo-Jun Max Shen, Presented at 2024 POMS Conference
• Learning on the Go: Understanding How Gig Economy Workers Learn with Recommendation Algorithms, with Park Sinchaisri, submitted to ACM CSCW 2025, avaliable at here
• Improve Worker Learning in The Gig Economy, with Park Sinchaisri, presented at 2024 INFORMS Annual Conference
• Improve Worker Bundling in The Gig Economy, with Park Sinchaisri, presented at 2024 MSOM Conference

Collaboration

I’m always open to collaboration, please send me an email (shunan_jiang@berkeley.edu) if you’re interested.

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

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 2700 subscribers (it’s like Chinese Quora)