Our laboratories conduct research to create new values and innovation by developing data analysis methods for unprecedented-scale data generated by the next-generation synchrotron radiation facilities such as NanoTerase and Tohoku Medical Megabank Organization (ToMMo), and applying them to various research fields. Unprecedented-scale data here refers not only to the volume of data, but also to data that surpasses conventional scales in terms of data generation speed, measurement resolution, and diversity of data modalities. Since such data have the potential to generate new knowledge and value, high-performance analysis methods for such data are required.


Shiga Laboratory conducts research in machine learning and materials informatics. Based on these technologies, we develop data analysis methods to identify the structure of materials and discover new high-performance materials by analyzing measurement data from synchrotron radiation facilities and electron microscopies, as well as theoretical computational data in materials science.


The focus of the Yamada Lab is data science, particularly in the field of artificial intelligence. Although we create artificial intelligence systems, we are mainly engaged in research on developing technologies that can be used for creating artificial intelligence. Specifically, we are conducting research on developing artificial intelligence with consciousness, string processing research centered on biological sequences, and research on the relationship between artificial intelligence and culture.