Ben Prystawski

PhD Student at Stanford University

Princeton, New Jersey, United States
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Summary

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Senior
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Top School
Ben Prystawski is a PhD student in psychology at Stanford with a strong computational background from a 4.0 BS in Computer Science and Cognitive Science at the University of Toronto and 11 years of experience applying machine learning to real-world and cognitive problems. His research blends computational modelling, psycholinguistics, social cognition, and cognitive development—projects have included modeling children's causal inference, studying gendered language with word embeddings, and personalizing explanations in online learning via reinforcement learning. He has interned at Max Planck’s Rationality Enhancement Group developing models to improve human goal pursuit and earlier data-science roles that built TensorFlow models and big-data pipelines. Based in Palo Alto, he bridges rigorous cognitive theory with practical ML implementation, often translating psychological insight into tools that help people learn and pursue goals more effectively.
code11 years of coding experience
job1 year of employment as a software developer
bookBachelor of Science - BS, Computer Science and Cognitive Science, 4.0, Bachelor of Science - BS, Computer Science and Cognitive Science, 4.0 at University of Toronto
bookDoctor of Philosophy - PhD, PSYCHOLOGY, Doctor of Philosophy - PhD, PSYCHOLOGY at Stanford University
languagesEnglish, French, German, Esperanto
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Github Skills (16)

truncate8
webppl8
cognitive-science8
lucky-framework7
minecraft7
probabilistic-programming6
dnd-tools5
python3
science3
rscript2
rest2
rest-api2
automation2
frontend1
obsidian1

Programming languages (7)

TypeScriptJavaRSCSSTeXJavaScriptPython

Github contributions (5)

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Contributions:34 commits, 28 pushes, 1 branch in 17 days
Contributions:100 pushes, 1 branch in 2 months
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