Summary
Keiran Paster is a PhD student at the University of Toronto with 13 years of experience bridging research and software engineering, focused on using sequence models for planning, decision-making, and reasoning. Based in the San Francisco Bay Area, he combines rigorous academic training with practical industry exposure from roles at BAIR and a software engineering internship at Google. His background in EECS from UC Berkeley underpins a strong foundation in both theory and systems implementation, enabling him to translate research ideas into working prototypes. Keiran’s work emphasizes sequential decision problems, suggesting a knack for structuring long-horizon planning and reasoning tasks that go beyond standard supervised learning. He brings a research-first mindset tempered by hands-on engineering discipline, making him effective at pushing novel models toward real-world applicability.
13 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Electrical Engineering and Computer Science, Bachelor’s Degree, Electrical Engineering and Computer Science at University of California, Berkeley
John Burroughs High School
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Toronto
English