Reseach about interaction between tumor and immune cells by systems approach(Systems Tumor Immunology), predict drug-drug interaction by virtual system, virtual diagnostic system which can extract each individual one from even more than two mixed diseases based on evidence based medicine knowledge.
Keywords : Systems Immunology, Systems Pharmacology, AI Systems for Medical Diagnosis and Decision Flow
Seunghyuk Choi (Computer Science)
I have an interest in the dynamic behavior of biological molecules such as RKIP and its biological consequences in the context of the inter-linked signal transduction pathways. And I am also interested in the systems biology on colorectal cancer using multi-agent based modeling methods.
Keywords : Cancer systems biology, RKIP, signal transduction pathway, multi-agent modeling.
Jeehyeong Kim (Computer Science)
I'm interested in the computational modeling of biological neural networks to explain experimental results such as neural oscillation, and applying the control theory of networks to biological interaction networks and neural networks.
Keywords : neural network modeling, network theory
Jonghun Park (Computer Science)
My primary interest is in developing novel algorithms that solve problems in computational biology and in analyzing large-scale biological data using statistical and machine/deep learning techniques.
I search out features of human proteome especially about gastric cancer disease. And I want to study how and which nucleotide variant on DNA affects peptide identifications through database search. Also interested in gene expression and modeling transcriptome changed by mutations.
Keywords : Proteomics, genomics, cancer biology
Jinwon Lee (Computer Science)
My interests are to extract large data about biological question using computer technology and to analyze it in order to find a new insight.
Keywords : Proteomics, Datamining, Database, Deep Learning, Systems biology
Jihoon Na (Biomedical Engineering)
Single omics information does not provide an accurate insight into life phenomena. It is because each life matter functions by mutual interaction. Therefore, it is more accurate to predict the life phenomenon by integrating various omics information. My area of interest is to make better predictions of life phenomena using multiple omics information such as DNA, RNA, and Protein. And i'm also interested in statistics and machine learning approach to analyse these information .
Keywords : Bioinformatics, Genomics, Proteomics, Deep Learning, Statistics
Mincheol Jeon (Computer Science)
The data that we now generate overwhelm our abilities of interpretation. My research goal is to appropriately interpret the biological data using system biology and bioinformatics. I am especially interested in health and longevity and I hope that my research contributes to the healthy life of people.
Keywords : systems biology, bioinformatics, longevity
Daewook Kwon (Computer Science)
I would like to analyze genome sequencing changes and study links with various diseases, including rare diseases and cancer genetics. In addition, I also hoped to combine artificial intelligence with bioinformatics to analyze rare disease and cancer genomes individually and develop personalized disease prevention and treatment systems.