JaeHeon Lee

I’m a PhD student at Dartmouth College, in the Psychological and Brain Sciences program, working with John D. Murray on the computational principles underlying cognition and neural dynamics. I’m interested in how prior learning shapes and accelerates subsequent learning, and more broadly in the computational principles that allow neural systems to build on previously acquired structure, contributing to structured forms of complex cognition across multiple scales of neural organization. I did my undergrad in Biology, AI, and Electrical Engineering at KAIST, and I’ve also studied mathematics with a YouTube channel.

I interned in Min Whan Jung’s lab for two months, assisting with rat experiments involving training and surgical procedures. Following that, I spent 1.5 years in Sang Wan Lee’s lab working on a simple RL project and analyzing error signal propagation in fMRI using MVPA. I also worked as a data scientist and a participant in Korea’s mandatory ITP program for two years at DeepBio, an AI histopathology startup. I’m also still part of Yul HR Kang’s lab (since Spring 2024), focusing on psychophysics and human uncertainty, as well as neural posterior estimation and cognitive map formation in computational models, and Cristina Savin’s lab at NYU (since Fall 2024) on curriculum learning, investigating how models reuse neural dynamics when performing multiple tasks sequentially.

Thank you for visiting my GitHub page, where I share my pursuits and discoveries.

Best regards, JaeHeon Lee