Dr. Sijia Dong is an assistant professor in theoretical and computational chemistry in the Department of Chemistry and Chemical Biology. She is an affiliated faculty member of the Department of Physics and the Department of Chemical Engineering. She is also a core member of the Quantum Materials and Sensing Institute, and a member of the Institute for Chemical Imaging of Living Systems.

Dr. Dong is passionate about accelerating science using computation and automation. She received her PhD in Chemistry from California Institute of Technology in 2017. She carried out her postdoctoral research at the University of Minnesota, and then at Argonne National Laboratory. She started her assistant professor position at Northeastern University in 2021. She has been selected a Scialog Fellow for Automating Chemical Laboratories by the Research Corporation for Science Advancement and is on the inaugural Early Career Board of the Journal of Chemical Theory and Computation.

Research in the Dong Lab focuses on using data-driven methods and quantum computing to accelerate molecular simulations and chemical discovery. She is particularly interested in problems where both quantum mechanics and statistical mechanics need to be used. Her group develops computational tools to allow high-throughput quantum chemical and multiscale simulations of biomacromolecules, polymers, and heterogeneous systems, and to use insights from first principles simulations to design molecules and materials for energy, biomedical, and quantum information applications.