Ever since the completion of human genome sequence was announced, not much progress has been made in the development of diagnosis methods and new drugs. This leads us to the conclusion that the statistical method the current researchers are using is not appropriate for analyzing biological data to contemporary demand.

      The traditional methods such as hypothesis tests were devised for getting the most out from a small number of data points (which is a computation of probability of probabilistic data). Though there are still uncertainties, we have genome data which is enormous enough to infer essential characteristics and fundamental laws. This situation is similar to when Kepler discovered his famous three laws from the data, which Tycho-Brahe, his mentor, observed for many years.

Our aim

• Invent novel analysis algorithms by discovering fundamental laws in biology/genetics.
• Develop diagnosis and treatment methods of diseases and improve health care standard.

      As the first step, we develop novel concepts, based on rigorous mathematics, of biological phenomenon and will provide new tools for data analysis.