Genome Information Engineering

[Matsuda Lab.]

We aim to establish methodologies for analyzing the vast amount of data on a wide variety of life phenomena using statistics and information technologies such asmachine learning. We also try to elucidate the mechanisms of life phenomena.

Metabolic Engineering

[Shimizu Lab.]

Metabolic fluxes in microorganisms are analyzed and designed by integration of in silico and experimental methods. Protein engineering and evolutional engineering are also applied to creation of optimal metabolic pathways for bioproduction.

Bio-Inspired Networking

[Wakamiya Lab.]

By integrating with academic fields such as mathematics, physics, and biology, we are promoting interdisciplinary research to elucidate, understand, control, and apply the simple but skillful and flexible operating principles of organisms, living organisms, and brains.

Analytical Biotechnology

[Matsuda Lab.]

The Analytical Biotechnology Laboratory started in April 2018 to elucidate the principle of biological system, which consists of complex interactive network of biological molecules (gene, protein, metabolite, cell, etc.). Understanding the mechanism of adaptation, robustness, and evolution through information technologies is beneficial to several fields including information, engineering, agriculture, and medicine. We try to achieve the quantitative elucidation of the property of biological system by analyzing various kinds of molecules using advanced analytical technologies. The extracted characteristics of the system by reconstructing the operating principle in silico and in vitro will contribute to the efficient and novel bioproduction and drug discovery.

Human Information Engineering

[Maeda Lab.]

Aiming to mathematically understand the mechanism of human perceptual and motor information processing from the standpoint of psychophysics, we will conduct research on brain and body measurement, sensory presentation using illusions, and interface technology that can be operated unconsciously.