My name is Ashlyn Campbell and I am a doctoral student in the School of Information at the University of Michigan. My research explores approaches to artificial intelligence (AI) literacy in computing education, focusing on how to expand access by centering the knowledge students already bring and supporting their pathways to shape the future of AI. I am advised by Dr. Barbara Ericson and Dr. Mark Guzdial. I have a Bachelor's in Computer Science and Sociology from Georgia State University (GSU). During my time at GSU, I founded and led the RISE in Computing Stars, an research-informed intervention for freshmen college students in computing alongside Dr. Anu Bourgeois. Additionally, I worked as a research assistant with the Human and Technology Lab at Clemson University and completed internships at companies like Microsoft.
Outside of my professional experiences, I am passionate about academic & professional mentorship, STEM outreach, and public scholarship. As a Minority Serving Institution (MSI) Ambassador at the University of Michigan Rackham Graduate School, I work with a diverse team to create opportunities for undergraduate and graduate students to learn about and thrive in graduate school. Additionally, I invest in computer Science outreach in high schools through programs like the University of Michigan Wolverine Pathways, Sisters RISE Up, and the Community Action Network with the Society of Women Engineers. In my free time, I enjoy writing advice for aspiring computer scientists on my substack.
Most recent publications on Google
Scholar.
‡ indicates equal contribution.
RISE Stars: An Experience Report on a Cohort of Black Freshmen Women in Computing
Ashlyn Campbell, Anu Bourgeois, Nannette Napier
ACM SIGCSE 2025
RISE Stars: An Experience Report on a Cohort of Black Freshmen Women in Computing
Ashlyn Campbell, Anu Bourgeois, Nannette Napier
ACM SIGCSE 2025
Convolutional Neural Networks for UV-Visible Spectroscopic Analysis of Chromatographic Effluents
Ashlyn Campbell, Camila C. Gonzalez, Saurabh Narain, and Tsuyoshi A. Kohlgruber
Computing Scholars Showcase 2025
DSSI Challenge Problem: Computer Vision for Laboratory Automation
Ashlyn Campbell, Savvas Marcou, Ethan Pawl, Forough Hammond, Seoyeong Park
Data Science Summer Institute (DSSI) 2025
Maternal Health Monitor+: A Personalized Computational Framework for Early Detection and Intervention
Ashlyn Campbell
NSBE 50th Conference: Technical Research Exhibition
The Ontological-Centered Toolkit
Ashlyn Campbell
Georgia State Undergraduate Research Conference (GSURC)
Full CV in PDF.