Summary
Yasa Baig is a doctoral researcher at Stanford bridging bioengineering, machine learning, and high-performance GPU computing to tackle AI4Science problems in 'omics, PDEs, and biophysics. With eight years of research and engineering experience spanning Cambridge, Harvard, Duke, and Memorial Sloan Kettering, they combine theoretical physics and systems biology with production-grade software — from developing open-access bioinformatics tools to running large scientific clusters. Co-advised by Steve Quake and Chris Ré, Yasa has a track record of translating wet-lab questions into computational pipelines and novel ML methods, and co-founded the largest student AI engineering group in the NC Research Triangle. Their work uniquely blends numerics and active-matter theory with practical GPU acceleration, reflecting a rare mix of deep theory, experimental insight, and scalable engineering.
8 years of coding experience
6 years of employment as a software developer
BS, Physics, Computer Science, BS, Physics, Computer Science at Duke University
Master of Philosophy - MPhil, Physics, Mathematics, Master of Philosophy - MPhil, Physics, Mathematics at University of Cambridge
Valedictorian, Valedictorian at Foxborough High School
Doctor of Philosophy, Bioengineering, Doctor of Philosophy, Bioengineering at Stanford University
English, Spanish, urdu/hindi