March 2016 Medical School, The University of Tokyo (UTokyo)

March 2019 Department of computational biology and medical sciences, Graduate School of Frontier Sciences, UTokyo

April 2019 Institute for Quantitative Biosciences, UTokyo, JSPS PD/CPD fellow

March 2020 Rocklin lab, Northwestern University, JSPS CPD fellow

March 2021 Rocklin lab, Northwestern University, Long-Term Fellow of the Human Frontiers Science Program

April 2023, Lecturer, Institute of Industrial Science (IIS), UTokyo


Proteins are composed of 20 different amino acids, providing a vast range of functions and a high level of diversity. Because the possible space is too huge, it remains difficult to rationally design de novo proteins without a thorough understanding of the fundamental relationships between amino acid sequence, structure, and function. To overcome this challenge, we are combining large-scale measurements with machine learning, including deep learning. Then, based on this new knowledge, we design de novo proteins to verify and reanalyze the new findings. In this way, we repeat such analysis and design to achieve both an understanding of the fundamental laws of proteins and rational de novo protein design.