12/2025
Presenting a poster on evaluating GenAI in search at the Eval Eval Workshop in San Diego.
I'm a third year PhD student at the University of Pennsylvania in the Computer and Information Science department. I am grateful to be advised by Professor Danaé Metaxa as a member of Penn HCI.
I employ causal inference and experimental methods to study inequities on online platforms. I also design and build systems that empower individuals to exert greater control over their online experiences in the face of algorithmic personalization.
Before starting my PhD, I worked as a software engineer in the tech industry, first at Sisu Data, then at Apple. I earned both my MS in Computer Science and my BS in Symbolic Systems from Stanford University. My work has been generously supported by an AWS gift for research in Trustworthy AI.
NEWS
06/2025
Attending alt-FAccT in New York.
04/2025
Presenting work on user-centered analysis of political TikToks at News Futures Workshop at CHI in Yokohama, Japan.
11/2024
I will be attending CSCW in San Jose, Costa Rica to present our work, “Lower Quantity, Higher Quality Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines”.
08/2024
My paper with Shengchun Huang won First Place Faculty Paper, Political Communication Division at Association for Education in Journalism and Mass Communication (AEJMC)!
07/2024
I went to IC2S2 at the Univeristy of Pennsylvania to present work on auditing social media news feeds.
PUBLICATIONS
* indicates equal contribution
Admix: Designing for End-User Agency and Collective Action in Targeted Advertising
Stephanie Wang, Princess Sampson, Mialy Rasetarinera, Danaé Metaxa
Revise and Resubmit at ACM CHI 2026
Stephanie Wang*, Shengchun Huang*, Alvin Zhou, Danaé Metaxa
ACM CSCW 2024
[ PDF | Blog post | Penn coverage ]
TEACHING
University of Pennsylvania
Head TA, Human-Computer Interaction. Sp 2024.
Stanford University
TA, Probabilistic Graphical Models. Wi 2018, Wi 2019.
TA, Natural Language Understanding. Sp 2018.