Publications

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]

Jean Salac, Lena Armstrong, Megumi Kivuva, Jayne Everson, Alannah Oleson, Amy J. Ko. “Supporting Adolescents in Developing Critical Computing Consciousness.” (submitted)

Andrew Revell, Alexander Silva, Dhanya Mahesh, Lena Armstrong, Thomas Arnold, John Bernabei, Brain Litt, Ezquiel Gleichgerrcht, Leonardo Bonilha, Joel Stein, Sandhitsu Das, Russell Shinohara, Danielle Bassett, Kathryn Davis. “White Matter Signals Reflect Information Transmission Between Brain Regions During Seizures.” (submitted)

Lena Armstrong and Danaë Metaxa. “Computing Students’ Strategies and Perceptions of Fairness in Navigating Automated Hiring.” (in progress)

Research Projects

Senior Honors Thesis (August 2022 - Present)

• Advisor: Prof. Danaë Metaxa (HCI Lab, University of Pennsylvania)

• Fairness in Automated Hiring Algorithms: investigating opacity in automated hiring, how to conduct bias audits of automated hiring systems, and relationships between strategies people use to circumvent automated systems and perceptions of algorithmic fairness
  
  

Design Use Build (DUB) REU Program (June - August 2022)

• Advisor: Prof. Amy J. Ko (Code & Cognition Lab, University of Washington)

1. How Adolescents Make Sense of Algorithmic Fairness: interviewed adolescents on their perceptions of algorithmic fairness and analyzed their responses to different technological scenarios

2. Critical Concious Computing: taught an algorithmic fairness and computer science as part of the Upward Bound program for first-generation, low-income high school students in Seattle, and studied impact of critically conscious computing education

3. Perceptions of Automated Hiring: created a project to determine first-time job seekers’ perceptions and experiences with automated hiring algorithms to determine bias and opacity [Poster]

HCII Summer Undergraduate Research Program (June - August 2021)

• Advisor: Prof. Amy Ogan (Human Computer Interaction Institute, Carnegie Mellon University)

• Design-Based and Data-Driven Approach to Supporting Teachers in Low Infrastructure Contexts: worked on a chatbot to support hundreds of teachers in low infrastructure contexts in Côte d’Ivoire [Poster]

Penn Center for Neuroengineering and Therapeutics (May 2020 - December 2021)

• Advisor: Prof. Kathryn Davis (Davis Lab, University of Pennsylvania)

1. White Matter Signals Reflect Information Transmission Between Brain Regions During Seizures: helped investigate differences between white matter and gray matter through functional recordings acquired by implantable devices and neuroimaging to better understand brain function and pathophysiology

2. Machine learning of EEG to help diagnose epilepsy: created a pipeline to predict brain functional connectivity from structural connectivity with Python using brain network analysis and machine learning techniques [Poster for Penn Fall Research Expo]

Work and Leadership Experiences

• Head Teaching Assistant for Introduction to Human Computer Interction (CIS 4120/5120)

• Head Teaching Assistant for Introduction to Computer Programming (CIS 1100)

• Project Manager and UN Liaison at an NGO Hecho por Nosotros working to improve the sustainability of the fashion industry through transparency & traceability techology

• Women in Computer Science (WICS) President

• PennGreen Co-Director (sustainability-focused orientation program for first-year students)

• West Philadelphia Tutoring Project tutor for middle school students in STEM

• FemmeHacks mentor at inclusive hackathon for women and non-binary people
  
  

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