Summary
Russell Yang is an AI-focused engineer and entrepreneurially minded technologist with eight years of experience building ML and data-driven solutions across healthcare, finance, and legal domains. Currently an AI Engineering Fellow at Stanford Law School, he applies LLMs to practical lawyering problems after prior roles deploying AI for robotic surgery at Johnson & Johnson and cancer survival modeling at Stanford Medicine. His background blends EECS and molecular biophysics from Yale with advanced statistics coursework from MITx, enabling him to straddle algorithmic rigor and domain-specific science. Russell has worked in high-stakes, fast-paced settings—from hedge fund internships at Citadel and KKR to authoring MCAT materials in pharmaceutical chemistry—demonstrating an ability to translate complex technical work into real-world impact. Based in Los Altos, he builds deep relationships and favors long-term, interdisciplinary projects that bridge research and product.
8 years of coding experience
1 year of employment as a software developer
MicroMasters Statistics and Data Science, MicroMasters Statistics and Data Science at MITx Courses
BS Electrical Engineering and Computer Science and Molecular Biophysics and Biochemistry, BS Electrical Engineering and Computer Science and Molecular Biophysics and Biochemistry at Yale University
Junior Deferral Program, Junior Deferral Program at Harvard Law School
Chinese, English