Rika Kobayashi (ANU, Australia)

Back

Rika Kobayashi is a High-Performance Computational Chemist and Machine Learning specialist at the NCI supercomputer facility based at the Australian National University. Her background is in ab initio quantum chemistry having derived and implemented a coupled cluster gradient for her PhD from the University of Cambridge. Since then she has mostly been implementing novel quantum chemistry methodology, such as CCSD(T) into NWChem and CAM-B3LYP into the Gaussian suite of programs for supercomputers. In her previous role at NCI she was responsible for installing, maintaining and providing expert support for chemistry application software to Australian researchers and their international collaborators, especially in technical HPC matters. Since 2018 she has also been exploring issues of Big Data in chemistry and materials science, particularly regarding setting standards for interoperability and sustainability of databases and tools.