Andrea Wen-Yi Wang
Andrea standing in front of a row of trees with red autum leaves.
andreawwenyi [at] infosci.cornell.edu
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I'm a Ph.D. candidate at Cornell Information Science, at the Culture and Computation Lab. I am advised by David Mimno.
I study how professionals use and make sense of AI/ML technology, in order to inform and reflect on evaluation practices in AI/ML.
I carry out my studies using a mix of quantitative (comptutational text analysis, data science, finetuning LLMs) and qualitative methods (semi-structure interviews and field study).

Prior to joining Cornell, I was a data scientist at New York University's Public Safety Lab. I worked on the Jail Data Initiative with Orion Taylor and Anna Harvey. I was also a contributor in g0v ("gov-zero"), a grassroot civic-tech community in Taiwan, where I worked on the 0archive project. In the past life I was a Finance major in National Taiwan University. I held a MS Data Science from NYU. I thank my teachers in both institutions for cultivating my appreciation of mathematics.

For potential PhD applicant: I’m happy to chat about PhD applications and my PhD experiences. Feel free to email me.
Publications
* denotes equal contribution.
Inside Baseball: The Automated Ball-Strike System as an Object Lesson in Technological Rule Enforcement
AWW, Waki Kamino, David Mimno, Karen Levy, Malte F. Jung
To appear at FAccT 2026
Do Chinese Models Speak Chinese Languages?
AWW*, Unso Eun Seo Jo*, David Mimno
To appear at FAccT 2026
What Is a Robot? Understanding Baseball's "Robot Umpire" through the Lens of Fluid Technology
Waki Kamino, AWW, Guy Hoffman, Selma Šabanović, Malte F. Jung
HRI '26: ACM/IEEE International Conference on Human-Robot Interaction
Honourable Mention
Paper 
Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts
AWW, Kathryn Adamson, Nathalie Greenfield, Rachel Goldberg, Sandra Babcock, David Mimno, Allison Koenecke
AIES '24: AAAI/ACM Conference on AI, Ethics, and Society
Best Student Paper
Paper  Code  Slide
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings
AWW, David Mimno
EMNLP'23: Conference on Empirical Methods in Natural Language Processing

The Evolution of Rumors on a Closed Social Networking Platform During COVID-19: Algorithm Development and Content Study
JMIR Med Inform 2021
doi:10.2196/30467
Workshop Papers and Extended Abstracts
Million Eyes on the "Robot Umps": The Case for Studying Sports in HRI Through Baseball
Waki Kamino*, AWW*, Dhruv Agarwal, Sil Hamilton, Eun Jeong Kang, Jieun Kim, Keigo Kusumegi, Pegah Moradi, Daniel Mwesigwa, Yan Tao, I-Ting Tsai, Ethan Yang, Shengqi Zhu, Shu-Jung Han, Chi-Jung Lee, Michael Joseph Sack, Tianhong Catherine Yu, Weslie Khoo, Andy Elliot Ricci, Yoyo Tsung-Yu Hou, Boyoung Kim, Selma šabanović, David J. Crandall, Karen Levy, Malte F. Jung
2025 ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Paper
Resources for PhDs
Here are some resources that have greatly helped me grow as a PhD in Information Science.
This website is developed by gyauney. Thanks Greg!