Keiran Paster

PHD Student at University of Toronto

San Francisco Bay Area United States
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Summary

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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.
code13 years of coding experience
job2 years of employment as a software developer
bookBachelor’s Degree, Electrical Engineering and Computer Science, Bachelor’s Degree, Electrical Engineering and Computer Science at University of California, Berkeley
bookJohn Burroughs High School
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Toronto
languagesEnglish
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Stackoverflow

Stats
600reputation
71kreached
1answer
18questions
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Github Skills (35)

evaluation9
evaluation-framework9
nlp8
transformer8
natural-language-processing8
pytorch7
machine-learning7
deep-learning7
job-queue7
language-model7
hyperparameter-tuning6
terminate6
chat6
anaconda6
tensorflow6

Programming languages (3)

XSLTHTMLPython

Github contributions (5)

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Contributions:1 review, 3 commits, 1 PR in 4 months
keirp/glamor

Jan 2021 - Mar 2021

Contributions:3 commits, 1 push in 1 month
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