Dr. Rika Kobayashi is a high-performance computational chemistry and machine learning specialist at Australia's NCI Supercomputer Facility. Until 2020, she was part of the user support team responsible for installing, maintaining software packages and providing expert support, especially in computational chemistry, to Australian researchers and their international collaborators. Her background is in ab initio quantum chemistry, having derived and implemented a coupled cluster gradient for her Ph.D. under the supervision of Nicholas Handy at the University of Cambridge. Her expertise is in implementing novel quantum chemistry methodology, such as CCSD(T) into NWChem and CAM-B3LYP, into the Gaussian suite of programs, and using them for research into novel applications. Recent years have taken her into the realm of machine learning in both chemistry and materials science.