Summary
Lihan Yao is a founder and machine learning scientist with nine years of experience turning research-grade AI into production systems for government, defense, and commercial partners. He built award-winning algorithms for aerospace and led ML proof-of-concept and production efforts at Peraton Labs—including reinforcement learning for radio coordination and dynamic spectrum access—holding a Secret clearance. Lihan’s work spans end-to-end pipelines, from semisupervised imagery annotation at Memorial Sloan Kettering to automating large, dynamic government analysis streams, and he has a published ML method recognized by the Air Force Research Laboratory and DARPA programs. Now based in New York, he combines rigorous academic training (NYU CDS, BS in Math & CS) with entrepreneurial instincts, currently applying data-driven thinking to a consumer-focused venture at Wholeberry. An uncommon thread in his career is cross-disciplinary collaboration—he’s worked alongside academic graph theorists as a Fulbright Fellow and partnered directly with major US retailers—bridging mathematical depth and practical deployment.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics and Computer Science, Bachelor of Science (B.S.), Mathematics and Computer Science at Fordham University
Master's degree, Data Science, Master's degree, Data Science at NYU Center for Data Science
Budapest Semesters in Mathematics
English