My main research topic is the investigation of the large-scale structure of the Universe and its cosmological information. During my Ph.D. course, I have been working on simulation-based modeling of the clustering statistics of galaxies observed by galaxy spectroscopic surveys such as Subaru PFS, using machine learning methods. I am interested in theoretical studies of large-scale structure as well as the application of statistical and machine learning methods to cosmology.