I am studying the interdisciplinary area between computational condensed matter physics, HPC, and machine learning. I have always been interested in physics, especially in the ground state of frustrated strongly correlated quantum models. I became interested in the HPC field of large-scale computation and algorithm improvement after working on large-scale simulations with DMRG/MPS and Monte Carlo methods on the computer. Later, as of 2024, I am also interested in machine learning as an application of the matrix arithmetic algorithms developed in DMRG/MPS and in the context of AI for Science, especially in crystalline materials AI.