I am a Ph.D. student at Caltech CCE working with Prof. Anima Anandkumar. I collaborate closely with colleagues from the Miller Group and Entos. My research centers around developing physics-driven geometric learning approaches to tackle complex problems in chemistry and biology, especially for the study of electronic structure and dynamics out of equilibrium.
- Multi-task learning for electronic structure to predict and explore molecular potential energy surfacesarXiv preprint arXiv:2011.02680 2020 (Appeared at Machine Learning for Molecules workshop at NeurIPS 2020 as a contributed talk)
- OrbNet: Deep learning for quantum chemistry using symmetry-adapted atomic-orbital featuresThe Journal of Chemical Physics 2020 (Editor’s Pick)
- Ice nucleation of confined monolayer water conforms to classical nucleation theoryThe journal of physical chemistry letters 2019