Special Field of Study
Quantitative Biology
Departments and Research Centers
Department of Informatics and Electronics
Center for Research on Engineering in Medicine and Biology (CREMeB)
Center for Dependable Socio-information Platform(DSiP)
Educational Systems
Mathematical Informatics : Graduate School of Information Science and Technology
Electrical Engineering and Information Systems : Graduate School of Engineering
Research Subject
Biological systems function stably and flexibly. Nonetheless, the individual cells, the basic building component of all biological systems, behave stochastically and unreliably. Biological systems are, therefore, composed of unreliable noisy component even though the whole system can function robustly. This property contrasts sharply with that of man-made systems in which the stable operation of a whole system strongly relies on the reliability of its components. What is the underlying design principle of biological systems to realize their stable and flexible functionality with noisy components? If we can discover the unknown principle, we can employ the knowledge to construct new engineering systems. To this end, we are working both on bioinformatics of quantitative bioimaging and NGS data and on theory for stochastic biological systems and their information processing.