Senior Engineer at Amazon, where I build physics-informed ML models and agentic AI tools for battery data analysis and interpretation. PhD in Chemistry from Stanford, with publications in Science and PNAS. My interpretability research applies quantitative techniques from the natural sciences to mechanistic interpretability. Blog: open2interp.substack.com | Code: github.com/mkenney2 | LinkedIn
Views and research posted here are my own and not affiliated with my employer.