Summary
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.
11 years of coding experience
1 year of employment as a software developer
Bachelor 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
Doctor of Philosophy - PhD, PSYCHOLOGY, Doctor of Philosophy - PhD, PSYCHOLOGY at Stanford University
English, French, German, Esperanto