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.

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 ^_^


Sep 20, 2023 Our paper “Nonprogressive Diffusion on Social Networks: Approximation and Applications” has been selected as one of the 4 finalists for the 18th INFORMS DMDA Workshop Best Paper Competition Award (Theoretical Track)!
Welcome to my presentation!
Time: Oct. 14, 2023, 2:50 PM – 4:20 PM; Location: Room 127 A|B.
Sep 11, 2023 I will be at INFORMS Annual Meeting 2023.
I will co-chair a session “Social Network and Platform Operations” with Max Shen, where I will also present my work “Nonprogressive Diffusion on Social Networks: Approximation and Applications”.
Time: Oct. 15, 2023, 2:15 PM - 3:30 PM; Location: CC-North 130.
Sep 11, 2023 I will be at INFORMS 2023 Workshop on Data Science.
Welcome to my talk “Nonprogressive Diffusion on Social Networks: Approximation and Applications”!
Time: Oct. 14, 2023, 11:00 AM - 12:00 PM; Location: Room 126A.