I am a Ph.D. candidate in Computer Science and Engineering at the University of Michigan. I work with Professor Matthew Kay at Northwestern University.
I take a human-centered approach to communicating uncertainty and statistics with visualizations. Through my internships at two national labs, I have applied my research interests to challenges I care about — climate change and renewable energy. I am also interested in adopting and improving open science practices. Ask me about preregistrations!
Across my projects, I have used a wide range of methods, such as design, system-building, participant experiments & (Bayesian) statistical analyses, and qualitative interviews.
• Midwest Uncertainty Collective
• umich email: xpu
• Curriculum Vitae
• Twitter
• GitHub
• LinkedIn.
• IPA pronounciation: /ɕǎu jə̄ŋ pʰʷúː/ •
Publications
Datamations: Animated Explanations of Data Analysis Pipelines. Xiaoying Pu, Sean Kross, Jake Hofman, Daniel Goldstein. (To appear at CHI 2021)
[PDF]
SPy: Car Steering Reveals Your Trip Route!. Mert D. Pesé, Xiaoying Pu, and Kang G. Shin. Proceedings on Privacy Enhancing Technologies 2020.2 (2020): 155-174.
Shorter ones
Unbiasing Visual Data Exploration in the Garden of Forking Paths. Xiaoying Pu, Matthew Kay, Michael Correll, Eli Brown. CHI 2019 Workshop on Human-Centered Study of Data Science Work Practices, 2019.
[PDF]
Recent-ish News
- Feb. 2021: Presenting Datamations at C+J 2021.
- Feb. 2021: SIG on Visualization Grammars accepted at CHI 2021.
- Jan. 2021: Working as a GSI for EECS 203: Discrete Math. Office hours.
- Oct. 2020: Student volunteer at IEEE VIS 2020. Also helped out on How to Make Your Empirical Research Transparent tutorial.
- May 2020: Started my internsip at Microsoft Research NYC (remote).