• Computational systems biology
• Human microbiome and mucosal immune systems in health and disease
• Biological networks and phenotype prediction
• Quantitative modeling and big data analysis

Dr. Pan-Jun Kim is developing a quantitative framework for unraveling collective dynamics of biological systems, aided by mathematical modeling and statistical data analysis. Recent technologies have generated enormous amount of biological data at various scales. Computational methodologies developed in mathematics, physics, computer science, and engineering enable analyses of such data, allowing scientists to gain insights that will bring leaps in fundamental understanding of complex biological processes. Specifically, Dr. Kim’s interest covers the predictive computational modeling of (i) global microbial ecosystems inside human body and (ii) various metabolic, regulatory, and signaling networks inside/between cells, and (iii) cross-disciplinary big data analysis. More detailed information can be found from Dr. Kim’s group homepage: http://panjunkim.com. Dr. Kim obtained his Ph.D. degree in Physics from KAIST and was a postdoctoral research associate (IGB Fellow) at the University of Illinois at Urbana-Champaign, a JRG Leader at the Asia Pacific Center for Theoretical Physics, and joined Hong Kong Baptist University as an Assistant Professor in the Department of Biology in 2018.