I'm Michael, an Applied Math and Computer Science student (minor in French) at UC Berkeley. I'm also a member of the AI Interpretability group at UIUC. My research explores how systems—biological or artificial—acquire and use understanding. Currently investigating mechanistic interpretability, in-context learning, and architectures for systematic generalization.
Graduating May 2026.
Contact: mofengenden [at] berkeley.edu
News
- Jan 2026Exploring mechanistic interpretability and in-context learning
- Dec 2025Released PPT Arena benchmark for evaluating LLM-powered presentation editing
- June 2023NASA-funded research on stardust particle analysis and stoichiometry fitter release
