I’m now a fifth-year PhD candidate at the UC Berkeley IEOR department. I major in operations research with minors in machine learning and economics. My current research projects focus on the intersection of reinforcement learning/online learning and operations management problems. I believe in the potential of reinforcement learning especially its ability to actively interact with the environment. I’m also interested in studying operations and learning theory from an economic perspective. 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 from The Chinese University of Hong Kong, Shenzhen. My undergraduate major is Computer Science and Engineering. In my undergraduate, I used to be a research assistant in Shenzhen Research Institute of Big Data and I was honored to be advised by Prof. Zhi-quan Luo, researching on the asynchronous multi-sensor registration problem using optimization techniques such as semi-definite relaxation (SDR) and block coordinate descending (BCD). I was fortunate to have an exciting research internship experience in Sensetime Group Limited under Prof. Ping Luo from December 2017 to March 2018, building a large-scale fashion clothing dataset and combing ResNet with DNC (Differentiable Neural Computer). Besides research, I’m the co-founder of Sun Never Sets Studio, which is a student software development start-up studio focusing on improving CUHK(SZ)’s IT system. We have developed the university’s WeChat campus card and miniapp voluntarily, which integrates information related to students’ daily lives.

Publication

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

Working Paper

• Dynamic Repositioning in On-demand Vehicle Rental Systems with Demand Learning, with Hansheng Jiang and Zuo-Jun Max Shen, in preparation for submitting to Management Science, avaliable at SSRN
• Platform Cold Start Design: A Structural Online Learning Approach, with Gang Guo and Zuo-Jun Max Shen
• Improve Worker Learning in The Gig Economy, with Park Sinchaisri

Current Research Interests

• Reinforcement learning/multi-armed bandits and their applications on meaningful practical problems
• Interface of machine learning and economics/marketing
• Interface of machine learning and causal inference

Collaboration

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

Teaching

• MAT 1001 Calculus I, Teaching Assitant, 2016 Fall, CUHK(SZ)
• MAT 1002 Calculus II, Teaching Assitant, 2017 Spring, CUHK(SZ)
• 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

• National Scholarship(0.02%) 2017
• 1st Rank Academic Scholarship(0.6%) 2016, 2017, 2018
• Dean’s List(10%) 2016 - 2018
• Undergraduate Research Award 2017, 2018
• Tencent WeChat Campus Card “Digital Star” 2017
• Outstanding GSI(Graduate Student Instructor) Award 2021

CV

Download here

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 2000 subscribers (it’s like Chinese Quora)