We are an interdisciplinary computational research group in the Department of Materials Design and Innovation at the University at Buffalo. Our group is part of a cross-disciplinary department with one-of-a-kind degree programs that are uniquely positioned at the intersection of materials science and data science. We aim to train and empower next-generation scholars and engineers with transdisciplinary skillsets across materials modeling, machine learning, electrochemistry, catalysis, and surface science to meet the career demands of an increasingly data-driven and cross-disciplinary professional world.
