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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

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

TEACHING

University of Pennsylvania
Stanford University

RESUME CV

CV

CONTACT

stephtw [at] seas.upenn.edu

Google Scholar

Twitter

Bluesky

Medium