Summary
Laura Lyman is a Clare Boothe Luce Assistant Professor of Statistics at Mount Holyoke College with nine years of experience bridging advanced computational methods and statistical theory. She earned a PhD in Computational and Applied Mathematics from Stanford, where her research produced algorithms and publications on polynomial chaos, multivariate Hermite moments, and bluff-and-fix estimation techniques. Previously a visiting professor at Macalester and an application engineer in industry, she combines classroom teaching with hands-on software and research practice. A probability, statistics, and linear algebra enthusiast, she also has a track record of collaborative mathematical work dating back to an undergraduate publication on graph ideals. Her background blends rigorous theory, reproducible computation, and practical software development to bring modern statistical computation into undergraduate curricula.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Arts (BA), Mathematics, Bachelor of Arts (BA), Mathematics at Reed College
Doctor of Philosophy (PhD), Computational and Applied Mathematics, Doctor of Philosophy (PhD), Computational and Applied Mathematics at Stanford University