About

I am a Computer Science PhD Student at Harvard University, working with Fernanda Viegas and Martin Wattenberg at the Insight & Interaction Lab and supported by the NSF Graduate Research Fellowship.

My research focuses on human computer interaction, algorithmic justice, and AI auditing. I am interested in bridging humans and technology for social impact, understanding bias and opacity in automated systems, and encouraging more inclusive experiences in computer science.

Before starting my PhD, I completed my undergraduate degree in cognitive science and computer science at the University of Pennsylvania where I was advised by Danaé Metaxa. I also had the opportunity to work with Amy Ko at the University of Washington, Amy Ogan at Carnegie Mellon University, and Kate Davis at the Center for Neuroengineering and Therapeutics, University of Pennsylvania.

You can find more information on my CV.

Publications

Marissa Kumar Gerchick, Ro Encarnación, Cole Tanigawa-Lau, Lena Armstrong, Ana Gutiérrez, and Danaé Metaxa. “Auditing the Audits: Lessons for Algorithmic Accountability from Local Law 144’s Bias Audits.” (accepted to FAccT 2025)

Lena Armstrong and Danaé Metaxa. “Navigating Automated Hiring: Fairness Perceptions, Strategy Use, and Outcomes Among Young Job Seekers).” CSCW 2025.

Lena Armstrong, Abbey Liu, Stephen MacNeil, and Danaé Metaxa. “The Silicon Ceiling: Auditing GPT’s Race and Gender Biases in Hiring.” EAAMO 2024.

Jean Salac, Lena Armstrong, Megumi Kivuva, Jayne Everson, Alannah Oleson, Amy J. Ko. “How Economically-Marginalized Adolescents of Color Negotiate Critical Pedagogy in a Computing Classroom.” TOCE 2024.

Lena Armstrong, Jayne Everson, Amy J. Ko. “Navigating a Blackbox: Students’ Experiences and Perceptions of Automated Hiring.” ICER 2023.

Jean Salac, Alannah Oleson, Lena Armstrong, Audrey Le Meur, Amy J. Ko. “Funds of Knowledge used by Adolescents of Color in Scaffolded Sensemaking around Algorithmic Fairness.” ICER 2023. [BEST PAPER]