Natural phenomena in our world arise as a consequence of interactions of a lot of elements. Today such elements in phenomena can be observed simultaneously, and we then think that the mechanisms of all complex phenomena could be easily clarified by finding intrinsic rules from observed datasets. However such problems are still challenging because of their huge data size and combinatorial explosion. Using Machine Learning, Data Mining and Optimization, our laboratory tackles these problems in biological, medical, and pharmaceutical data analysis (Bioinformatics and Chemoinformatics) and nanostructure data analysis of inorganic chemistry (Materials Informatics). We furthermore develop and redesign our informatics methods for novel biomarker and drug discovery and for novel material design of batteries.

• Outline
• Messages from Students
• Staff