I am a PhD student candidate at the University of Pennsylvania in the Computer and Information Science department where I am advised by Professor Danaé Metaxa as a member of Penn HCI.

I build systems and employ quantitative and qualitative methods to develop human-centered evaluations of AI and algorithmic systems. As a '26 Summer Fellow at Stanford RegLab, I collaborated with a government agency to responsibly bring legal AI tooling into its workflows.

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.

UPDATES

06/2026

Attending FAccT in Montréal, where Megha will present our paper using social network analyses to audit gender bias in LLM-generated narratives.

05/2026

I will be joining Stanford RegLab for 10 weeks as a Summer Institute Fellow!

12/2025

Presenting a poster evaluating GenAI’s impact on users’ search behaviors at the Eval Eval Workshop in San Diego.

06/2025

Attending alt-FAccT in New York.

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 presented our work auditing algorithmic news curation on social media feeds at IC2S2 at the University of Pennsylvania.

SELECTED PUBLICATIONS

* indicates equal contribution

AI in Search Reduces Publisher Referrals Without Improving User Experience: Experimental Evidence

Stephanie Wang*, Jeffrey Gleason*, Yakov Bart, Christo Wilson, Danaé Metaxa

Work in progress, .

See all publications

TEACHING

University of Pennsylvania

Sp 2024

Stanford University