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.

My research focuses on sociotechnical audits of AI and algorithmic systems in online information environments, with applications in civic information, news, and targeted advertising. I draw on HCI, NLP, and CSS to evaluate these systems and design for greater transparency and user agency.

As a '26 Summer Fellow at Stanford RegLab, I collaborated with a government agency to responsibly bring legal AI tooling into its workflows. More recently, I have been conducting a multilingual audit of AI chatbots providing local voting information in advance of the 2026 U.S. midterms.

I completed my MS in Computer Science and my BS in Symbolic Systems both from Stanford University. My work has been generously supported by an AWS gift for research in Trustworthy AI.

UPDATES

11/2026

Presenting a parallel talk at CODE@MIT.

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.

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TEACHING

University of Pennsylvania

Sp 2024

Stanford University