Fellows & Research Professors

I am interested in contributing to the protein structural bioinformatics and their applications based on artificial intelligence (AI) and global optimization. The basic research method employed in AI research is an optimization process for learning models with a large number of parameters, or neural architectures with various network connections. I have been developing computational methodologies to predict the three-dimensional structure of proteins by applying efficient global optimization method. I want to develop AI-based methodologies to protein structure prediction by utilizing global optimization. In the traditional science and engineering field, which solves a given problem through computations and simulations based on human understanding and analysis, AI-based methods show the possibility of overcoming the limitations of conventional methods. I want to make advance the protein structural bioinformatics including protein structure prediction by using artificial intelligence and global optimization. It can be also applied to computational drug discovery.