Lu Xian


I am a third-year PhD student at the University of Michigan, School of Information. I am advised by Abigail Jacobs.

My research interests revolve around the structure and governance of sociotechnical systems and societal implications of computational technologies, including algorithmic fairness, science and technology studies (STS), computational social science, and network analysis. I often draw on social and political theories, STS, statistics, and machine learning in my research.

I am a Science Communication Fellow in 2023. I am also a researcher affliated with the Center for Ethics, Society, and Computing (ESC) at Umich. In 2021-2022, I co-organized the Complex Systems Advanced Academic Workshop (CSAAW).

I came to Ann Arbor in 2019 as a master’s student in Biostatistics, School of Public Health. Previously I received a BA in Political Science and Mathematics from Macalester College in St. Paul, MN, where I was advised by David Blaney and Lori Ziegelmeier.


Capturing Dynamics of Time-Varying Data via Topology
Lu Xian, Lori Ziegelmeier, Henry Adams, Chad Topaz
Foundations of Data Science, 2021