Serenity Biggs
Mechanistic Interpretability Researcher
Electrical Engineering • Computational Physics • Mathematics
Triple-major researcher applying rigorous mathematical reasoning, experimental methodology, and computational skills to frontier AI research, with a growing focus on mechanistic interpretability of neural networks.
Education
Bachelor of Science in Electrical Engineering
University of Arkansas, Fayetteville • December 2025
Bachelor of Science in Physics (Computational Focus)
University of Arkansas, Fayetteville • December 2025
Bachelor of Arts in Mathematics
University of Arkansas, Fayetteville • December 2025
Publications
“Spanning Trees with Constrained Branch Structure in Chair-Free Graphs”
Co-authored with Dr. Warren Shull, University of Arkansas. Currently in peer review.
Proved structural properties using systematic case analysis, minimality arguments, and forbidden subgraph reasoning.
“Determination of Optical Constants… with Kramers-Kronig Analysis”
Lead author, with Dr. Morgan Ware, University of Arkansas. In preparation.
Experience
Undergraduate Research Assistant – Semiconductor Lasers & Materials
June 2025 – Present
- Lead author on Kramers-Kronig optical constants paper
- Independent research on GaN, DBRs, quantum wells, etc.