I am a Master's student at Matsuo Lab at the University of Tokyo, and a research assistant at the Center for Theoretical Neuroscience at Columbia University, where I work on foundation models for neural encoding and decoding. I am deeply grateful to Liam Paninski and Yizi Zhang for their generous guidance and support.

Before that, I completed an MPhil in Data Intensive Science at the University of Cambridge, where I worked with Sven Krippendorf on Calabi-Yau manifolds, which play a central role in string theory. I received my bachelor's degree in Mathematical Sciences, with a minor in Cognitive Science, from UTokyo, graduating as valedictorian of my department. There I was fortunate to be advised by Masaaki Imaizumi and to collaborate with Shinji Ito on deep learning theory.

My research interests include deep learning theory, foundation models for neuroscience, and, more recently, LLM post-training.