Summary
Divya Nori is a Stanford PhD student and machine learning researcher who builds AI methods for modeling and designing biological systems, with four years of industry and academic experience spanning the Broad Institute, D. E. Shaw Research, and startup R&D. She has authored first-author papers recognized at ICML and NeurIPS workshops and was an early technical hire at Valthos, where she helps translate research into product-grade biological intelligence. Her work blends self-supervised molecular representation learning, graph-based generative models for drug modalities like PROTACs, and practical platforms that enable biologists to use deep learning for protein engineering. Based in Palo Alto, she bridges elite academic training at MIT and Stanford with hands-on impact in venture-backed and institutional labs, and she often operates at the intersection of foundational ML methods and wet-lab design constraints.
4 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Massachusetts Institute of Technology
High School Diploma, Valedictorian, High School Diploma, Valedictorian at Milton High School
Dual Enrollment, Linear Algebra, Multivariable Calculus, Dual Enrollment, Linear Algebra, Multivariable Calculus at Georgia Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
English, Telugu, Japanese