Summary
Bryan Gopal is a Staff Research Scientist with 11 years of experience building next-generation inference and modeling systems at Together AI, after graduating with honors and distinction from Stanford. His work sits at the intersection of foundational AI, medical technology, and computer systems, informed by research roles at Stanford’s AI Lab where he developed physiologically-inspired self-supervised pretraining for ECG representation (work under provisional patent). Bryan has industry experience in Reality Labs and Core Dimensions at Meta/Facebook and a track record of translating academic research into applied modeling and inference. Based in Delaware, he combines deep academic rigor with production-focused engineering to accelerate scalable ML inference. A less obvious strength is his recurring role as an invited speaker and collaborator across interdisciplinary translational venues, reflecting both technical depth and effective communication.
11 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Brophy College Preparatory
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Chinese, English