Ph.D. , 2021, University of Tokyo

Areas of Interest: Cosmology and Large-Scale Structures

Yosuke's research interests involve large-scale structures of the Universe and its cosmological information. He is also interested in machine learning-based methods to apply analysis of cosmological survey data. During his Ph.D. courses, he developed a simulation-based model of galaxy power spectrum observable in spectroscopic surveys, using a machine learning technique, and applied it to the cosmological parameter inference on the SDSS galaxy survey data. As a postdoc here at Steward Observatory, he has joined the collaboration of the SPHEREx survey and would like to further investigate the cosmological information in the large-scale structure.