Summary
Andrew Lampinen is a research-focused engineer blending a decade of experience in AI with deep training in cognitive science, currently contributing as a Member of Technical Staff at Anthropic. He spent six years at DeepMind as a Staff Research Scientist after earning a PhD in Psychology at Stanford studying learning, transfer, and generalization across humans and machines. His background spans applied ML in government and industry settings—from sensor and infrastructure simulations at JHU APL to human-in-the-loop generative model work at Google Brain—giving him a rare mix of theoretical insight and production-minded engineering. Based in the UK, he brings interdisciplinary rigor to problems of model robustness and human-like learning, often drawing on cognitive-science principles to guide system design. An understated strength is his history of translating detailed simulations and experimental paradigms into practical tools for evaluating and improving AI generalization.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Mathematics and Physics, Bachelor's degree, Mathematics and Physics at University of California, Berkeley
Doctor of Philosophy (Ph.D.), Psychology, Doctor of Philosophy (Ph.D.), Psychology at Stanford University