Hannah Wayment-Steele is a postdoctoral fellow and computational biochemist with nine years of experience applying machine learning and high-throughput experiments to RNA structure prediction and therapeutic design. She earned a PhD in Chemistry from Stanford, where she developed ML-driven approaches to improve RNA vaccines and earlier built unsupervised deep learning frameworks for protein dynamics. Her work spans academia and industry collaborations, including roles at Google Brain and the Wyss Institute, and she now conducts interdisciplinary research at Brandeis University. Beyond the lab, she represented Team USA in coastal rowing world championships, reflecting a competitive team mindset and resilience that inform her research leadership.
9 years of coding experience
7 years of employment as a software developer
Northland Preparatory Academy
Bachelor of Arts (B.A.), Majors: Chemistry & Applied Mathematics, Minor: Music, Bachelor of Arts (B.A.), Majors: Chemistry & Applied Mathematics, Minor: Music at Pomona College
Master of Philosophy (M.Phil.), Chemistry, Master of Philosophy (M.Phil.), Chemistry at University of Cambridge
Telluride School of Theoretical Chemistry
MolSim 2016
Doctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at Stanford University
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Hannah Wayment-steele - Postdoctoral Fellow at Brandeis University