About the author
Kim Baldridge (PhD, 1988) pursues research in the development and application of quantum mechanical methods for the prediction of molecular structure and physical properties, with special emphasis on aromatic materials, optoelectronic properties, methods for treating solvation, and the prediction of properties such as NMR spectra and acid dissociation constants (~210 publications). She is a leader in high-performance grid computing. She was Director of Computational Science at the San Diego, Supercomputer Center, then director for Grid Computing at UZH and now Co-Dean for Health Science and Director of HPC; from these posts she has made significant contributions to HPC and Grid Computing infrastructure and algorithm development that support QM Science globally.
She founded two major recurring international scientific symposia that highlight QM scientists (running for a combined quarter century), serves on the editorial advisory boards of Journal of Chemical Theory and Computation and Theoretical Chemistry Accounts, and has consulted as computational science expert to the U. S. Army Aberdeen Proving Grounds.
In 2000/2001, Prof. Baldridge was inducted as Fellow of the American Physical Society and the American Association for the Advancement of Science; and, she was awarded the Iota Sigma Pi – Agnes Fay Morgan Research Excellence Award. Prof. Baldridge received the Chinese Government 1000Talent Award in 2014 and the Haihe Award in 2015.
Advances in Engineering featured article: Design of new family of minimal parameter spin-component-scaled double-hybrid density functional theory