Bio
He is currently a Research Scientist in the Computer Science and Mathematics division at the Oak Ridge National Laboratory. In October 2021, he earned his Ph.D. from the Department of Electrical Engineering and Information Systems at the University of Tokyo, Japan. Subsequently, he continued there as a project researcher in the Laboratory for Neuromimetic Systems until September 2023. His research interests encompass the exploration of learning mechanisms in the brain to develop biologically plausible learning rules for neuromorphic chips and the design of low-power and compact neuromorphic circuits using CMOS and novel non-volatile memory devices.
Professional Experience
Neuromorphic researcher with over 10 years of combined experience in industry and academia, specializing in the design and development of Spiking Neural Networks (SNNs), their implementation on analog and digital platforms, and large-scale simulation in High Performance Computing (HPC) environments. Demonstrated expertise in building bioinspired hardware-software systems, including ultra-low-power mixed-signal neuromorphic chips, FPGA-based SNN emulators, and HPC-scaled simulation frameworks. Proven success in collaborative research and proposal development as a co-Principal Investigator (co-PI) on DOE, ALCC, and LDRDfunded projects. Passionate about advancing energy-efficient, biologically plausible learning algorithms through innovative hardware-software co-design.