Shota Katayama - Appointed in AY2019

My specialty is statistical science and machine learning. During my university years, I was enrolled in a faculty that promoted the fusion of humanities and sciences. In that faculty, I was able to study various fields such as literature, music, archaeology, psychology, and information science. Statistical science and machine learning were the tools used to analyze these disparate disciplines, from the humanities to the sciences, within a common framework. I was fascinated by the versatility of statistical science and wanted to learn more about it. As I was particularly interested in the theoretical aspects of statistical science, I went on to Osaka University for graduate school, where I could study it professionally. Later, through experiences studying abroad and meeting many researchers, I decided to seriously pursue a career as a researcher.

I am particularly engaged in research on statistical inference for high-dimensional data and the development of statistical methods. High-dimensional data, where the number of features is larger than the number of individuals, is being collected in a wide variety of fields, including economics, due to recent advances in information technology and database systems. The theories and methodologies of conventional statistical science, which were developed for situations with a small number of features, are in most cases not applicable to high-dimensional data. Furthermore, some data is not only high-dimensional but also has various structures. The greatest appeal for me is constructing new theories and methodologies specific to such data, and I strive to ensure that they are utilized in applied fields, including economics, to help gain new insights.

I strongly encourage all students in the Faculty of Economics to actively study statistical science. In today's world, which is overflowing with data, the demand for personnel who can perform data analysis is extremely high. On the other hand, with the spread of statistical analysis software, simply being able to perform analysis is no longer a sufficient strength. However, you already possess a powerful weapon: the fact that you are studying economics. In statistical science, a proper understanding of the data is essential. Please stand out from the crowd by accurately understanding economic data and appropriately "applying" the latest statistical science. Of course, besides your studies, don't forget to actively engage in things you can only do as a university student.

(Interview conducted in December 2019)