I am interested in developing numerical methods to study many-body interactions in superconductors and correlated topological materials. My Ph. D. research focused on studying the interplay between electron-electron and electron-phonon interactions using *determinant quantum Monte Carlo* (DQMC) and *dynamic mean field theory* (DMFT). At the University of Michigan, I studied spin fluctuations in triangular systems. Many of my investigations focus on the dynamical magnetic and charge responses, which can be measured in optical experiments, including inelastic neutron scattering and Resonant x-ray experiments. I am also interested in the Majorana fermions in the Kitaev system and topological superconductors. In addition to quantum materials, I  combined machine-learning technique with many-body physics and developed machine-learning assisted quantum Monte Carlo method. Currently, I am interested in quantum computing and quantum artificial intelligence.