Summary
Kushin Mukherjee is a cognitive scientist and postdoctoral researcher at Stanford’s Cognitive Tools Lab who studies how humans and cutting-edge multimodal AI systems perceive and produce visual artifacts like sketches, diagrams, and graphs. With a PhD in Cognitive Psychology from UW–Madison and nine years of research experience, he combines behavioral experiments, computational vision models, and protocol-driven comparisons to reveal representational gaps between people and neural models. His work bridges cognitive science and AI, with publications and awards across venues from CogSci and Memory & Cognition to NeurIPS, ICLR, EMNLP, and IEEE VIS, and includes an Apple Vis internship that produced conference-level contributions. Known for designing rigorous data-collection pipelines and visualization analyses, he brings both experimental craft and model-driven insight to problems in visual communication.
9 years of coding experience
Doctor of Philosophy - PhD, PSYCHOLOGY, Doctor of Philosophy - PhD, PSYCHOLOGY at University of Wisconsin-Madison
B.A. in Cognitive Science and Japanese, Cognitive Science, 3.93, B.A. in Cognitive Science and Japanese, Cognitive Science, 3.93 at Vassar College
Summer Program in Intensive Japanese Language, Summer Program in Intensive Japanese Language at Ochanomizu University