Summary
Rylan Schaeffer is an AI research scientist with 11 years of experience bridging cutting-edge research and industry impact, currently at Meta after research roles at Google DeepMind and multiple internships at Google and Meta. He’s a Stanford PhD student (on leave) and has a strong academic foundation with degrees from Stanford, Harvard, UCL, and UC Davis, blending computer science, computational engineering, and cognitive neuroscience. Rylan’s work spans foundational AI research and applied GenAI efforts, informed by prior roles in ML engineering and data science at Uber and hands-on deep learning internships. He co-founded a venture at Harvard Innovation Labs and has a track record mentoring and teaching across universities, reflecting an ability to translate research into products and people-focused outcomes. Based in Palo Alto, he’s known for moving fluidly between lab and production settings and for preferring direct introductions—if he doesn’t know you, he asks that you introduce yourself in connection requests.
11 years of coding experience
6 years of employment as a software developer
Biomedical Engineering Entrepreneurial Academy, Biomedical Engineering Entrepreneurial Academy at University of California, Davis - Graduate School of Management
University College London
Bachelor’s Degree Computer Science Engineering, Bachelor’s Degree Computer Science Engineering at University of California, Davis
Master of Science - MS Computational Science Engineering, Master of Science - MS Computational Science Engineering at Harvard University
Mountain View High School
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University