Summary
Michael Lee is a founder and data-driven software engineer with eight years of experience building ML and signal-processing systems for energy, IoT, and healthcare. He founded Oasis-X and has applied an applied-math lens to production problems at companies like Strella—processing >100M observations daily to optimize fruit storage—and NeuroFlow, where he translated product usage into predictive models for care retention. At Panasonic North America he developed high-throughput AI solutions for smart energy and mobility infrastructure, demonstrating an ability to move research into operational systems. His background blends Wharton-trained statistics and management science with hands-on web development from Flatiron, giving him both quantitative rigor and practical engineering chops. Comfortable across research, product, and early-stage investing from his VC fellowship, he often bridges technical strategy and business impact. Colleagues describe him as a pragmatic problem-solver who surfaces simple, scalable algorithms from complex data.
8 years of coding experience
4 years of employment as a software developer
High School, High School at The Episcopal Academy
Intro to Web Development, Intro to Web Development at Flatiron School
BScE, Statistics, Management Science, BScE, Statistics, Management Science at The Wharton School
English, Spanish