Summary
Kim Scott is a Staff Software Engineer with a decade of experience building data and interface tooling for experimental science, currently enabling researchers to access and analyze battery experiment data at Form Energy. With a PhD from MIT and a background leading the Lookit platform, Kim blends rigorous research sensibilities with production software skills—spanning Django, Ember.js, Python, and data pipelines—to make experiments more reproducible and scalable. She has led cross-disciplinary teams, written extensive technical documentation and policies, and served as PI on NSF-funded work, demonstrating an unusual mix of project leadership and hands-on development. Passionate about climate solutions, she applies her expertise in data-driven research workflows to accelerate battery R&D while drawing on prior neuroscience and developmental research experience to design human-centered scientific tools.
10 years of coding experience
7 years of employment as a software developer
PhD, Cognitive Science, PhD, Cognitive Science at Massachusetts Institute of Technology
BS, Engineering & Applied Science (Computation & Neural Systems), BS, Engineering & Applied Science (Computation & Neural Systems) at California Institute of Technology