Dr. Jordan Cox
Dr. Jordan Cox is a postdoctoral researcher in the Lopez lab, where he is focused on the determination of reaction pathways in light-activated processes using complete active space self consistent field (CASSCF) method and theoretically characterizing of covalent supramolecular architectures for photocatalysis and organic photovoltaics. He received his B.S. in chemistry from Middle Tennessee State University. He then went on to complete his doctoral work in the filed of in situ X-ray diffraction at the University at Buffalo under Dr. Jason Benedict.
Dr. Jingbai Li
Jingbai is a postdoctoral researcher in the Lopez Lab. He is learning photoexcited reaction mechanism using multireference approaches, such as complete and restricted active space self-consistent field (CASSCF and RASSCF) method. He also has a great research interest in conical intersection and applications of quantum dynamics. He received his B.S. in chemistry from Zhengzhou University in China. He then obtained his Ph.D. in computational chemistry from Illinois Institute of Technology under the supervision of Prof. Andrey Rogachev.
Daniel is a first-year graduate student from Stony Brook, New York. He earned a Bachelor’s degree from SUNY Binghamton in 2018. He is using quantum mechanical calculations to optimize the geometries and determine the photophysical properties of novel contorted heterocyclic polyaromatic hydrocarbons. Dan is extending these findings to covalent organic frameworks for applications in photovoltaics and heterogeneous catalysis.
Fatemah is a sophomore majoring in chemistry and is from Long Island, NY. She uses DFT calculations to study the selectivities of surface thiol-ene reactions in collaboration with the Lockett group at UNC Chapel Hill.
Patrick is a second-year undergraduate student researching the substituent effects on charge transfer states across subphthalocyanine-fullerene donor acceptor interfaces and has come to Northeastern from Bay Area California and Austin, Texas. He is pursuing a BS in biochemistry with an ethics minor and is interested in environmental applications for chemistry.
Biruk is an undergraduate Chemistry major using machine learning and computational chemistry to predict the properties or organocatalysts. He is developing molecular descriptors to train machine learning models to accurately predict intermolecular interactions. He is taking a big-data approach to build a dataset go ground-and-excited-state structures for π-conjugated systems.