Kim Scott
Staff Software Engineer, Battery Data
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolKim 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 TechnologyBS, Engineering & Applied Science (Computation & Neural Systems), BS, Engineering & Applied Science (Computation & Neural Systems) at California Institute of Technology
Github Skills (44)
monitor10
ember-addon10
emberjs10
exp10
api10
ember10
diabetes9
python9
player9
openapi8
frame8
service-collection8
browser8
swagger8
codebase8
Programming languages (5)
Github contributions (5)
kimberscott/lookit
Apr 2016 - Sep 2017
Contributions:71 pushes, 15 branches in 1 year 5 months
kimberscott/lookit-data-processing
Oct 2017 - Jun 2021
Analysis and video processing scripts for Lookit data
Contributions:1 release, 1 PR, 35 pushes in 3 years 8 months
stream-processingpythondata-streamdata-processinganalysis
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