Department of Advanced Data Science

We established Department of Advanced Data Science with two centers for cross-disciplinary research in advanced academic fields and for collaborative research in specific fields. Through collaboration between the centers, we will form a world-class research base that will generate synergistic development of theory, methods, and practice in statistical and mathematical sciences. The base will bring together researchers in statistical and mathematical sciences and other sciences to promote academic fusion, the development of new fields, and open innovation, transcending the boundaries of disciplines, organizations, and national borders.　

We promote fundamental research on statistical machine learning, and advance research on various topics ranging from deep learning and next-generation foundational models as core technologies of artificial intelligence to the theories and methods of mathematical optimization as a basis for machine learning technology. Furthermore, we will drive cooperative projects forward in scientific and industrial fields, where advanced statistical machine learning can be distinctively demonstrated, including astronomical data science in collaboration with the National Astronomical Observatory.

We are establishing a globally unique research hub that integrates advanced statistical machine learning technologies, researchers from academia and industry in the field of materials science, and a world-class materials database. The research goals include the creation of innovative technologies in materials informatics and the development of new materials that contribute to solving environmental and energy issues and promoting sustainable development in society. Additionally, we are forming an industry-academia consortium to develop the world's largest polymer property database using RadonPy, an opensource software that fully automates computational experiments on polymer materials.