Molecular computing, synthetic biology, protein structure, games for discovery
Computer architecture, machine learning systems, programming languages, energy-efficient computing, molecular storage and computing.
Synthetic biology, biological control circuits
Hardware accelerators for machine learning; emerging memory technologies, including DNA-based digital data storage; the use of biotechnology to the benefit of the IT industry; and system software for these new architectures
Keisuke Motone works with research professor Jeff Nivala in the Molecular Information Systems Lab (MISL). His research focuses on developing chemical and computational approaches to decoding biological information stored within protein and peptide sequences with nanopore sensor technology. Motone completed his Ph.D. in Applied Life Sciences at Kyoto University in Japan.