Yunduan Lin 林韵端

Good morning, and in case I don't see you, good afternoon, good evening, and good night!



Berkeley, California


This is Yunduan,
a fifth-year Ph.D. candidate,
in Systems Engineering program,
of Department of Civil and Environmental Engineering,
at University of California, Berkeley.

My advisor is Prof. Zuo-Jun (Max) Shen.

I earned my M.S. degree (2019) from Berkeley and B.Eng. degree (2018) from Tsinghua University, both in Civil Engineering.

I will be joining the Chinese University of Hong Kong (CUHK) Business School as an Assistant Professor in the Department of Decisions, Operations and Technology in Fall 2024.

For more information, please refer to my CV .

Research Interests

My research strives for simple, efficient, and high-quality solutions to complex operational challenges. I believe in the principles of systems thinking, therefore I focus on understanding how various components within a system interact, acknowledging that these interactions are pivotal in effective problem-solving.

My current research centers on social network analysis and platform operations. The ultimate goal is to create a more precise reflection of our interconnected societal systems, which, in turn, enables improved decision-making across a broad spectrum of platforms. These include—but are not limited to—online marketplaces and content-sharing platforms. On a broader scale, my work also venture into new frontiers in classical operations management problems, particularly those exacerbated by the pervasive connectivity of the digital era. These challenges span sectors like supply chain management, healthcare systems, and agricultural operations.

Committed to being an integral part of the solutions to these complex operational puzzles, I have employed a diverse set of methodologies. These include optimization for high-quality problem-solving, data analytics to uncover actionable insights, network and graph theory to better understand the interconnected systems, and stochastic simulation for informed assessment and decision-making.

Please feel free to contact me for research discussion and collaboration ^_^


May 17, 2024 Our paper “Nonprogressive Diffusion on Social Networks: Approximation and Applications” has been accepted to The Twenty-Fifth ACM Conference on Economics and Computation (EC’24)!
I will be attending EC’24 on July 08 - 11, 2024, at Yale University in New Haven.
Apr 04, 2024 Our paper “Daily Physical Activity Monitoring–Adaptive Learning from Multi-source Motion Sensor Data” has been accepted to Conference on Health, Inference, and Learning (CHIL 2024)!
I will be attending CHIL 2024 on June 27 - 28, 2024, at New York City, NY.
Mar 21, 2024 I have been selected to receive the 2024 Outstanding Graduate Student Instructor Award at UC Berkeley!
Mar 13, 2024 Our paper Content Promotion for Online Content Platforms with the Diffusion Effect has been accepted by Manufacturing & Service Operations Management! Please check our paper here.