Our Computational Condensed Matter and Materials (CCMM) group conducts computational investigations at the intersection of condensed matter physics and material science.  We are passionate about addressing fundamental scientific puzzles while also tackling practical challenges in real-world applications. 

We aim to provide robust numerical interpretations and precise computational predictions of novel phenomena in condensed matter materials. To achieve this, we study model Hamiltonians both analytically and numerically, employing a combination of statistical mechanics, first-principles approaches, effective Hamiltonian models, and machine learning techniques.

We value rigor and innovation, and we are committed to fostering an environment that helps our lab members reach their fullest potential in research.