I am 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.

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.

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
• 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 2700 subscribers (it’s like Chinese Quora)