Researchers

Junsoo Kang (Bio and Brain Engineering / Biological Sciences)
reality312@kaist.ac.kr

Research Interests
The recent advances in artificial intelligence technology along with the strides in systems biology have brought about new era of bio-data science. I wish to utilize ideas from both deep learning and network control theory to understand biological systems, notably the aging-related pathways and the brain networks, better.

Keywords: systems biology, network control theory, machine learning, deep learning

Hye-Min Lee (Biotechnology)
lhyemin@kaist.ac.kr

Research Interests
Cancer is still a disease to overcome. I want to do research cancer through system biology, which understands complex life phenomena as whole systems rather than as individual components. So, I want to find the appropriate anti-cancer drug targets or drug synergism by experimenting directly with the significant results from cancer network simulation and biological data analysis. As a result, I want to do research that can actually help people suffering from cancer.

Keywords: Systems biology, Cancer biology, Bioinformatics, Immunology

Soo Min Lee (Life Science & Computer Science)
slee20@kaist.ac.kr

Research Interests
As everyone has different reactions to certain drugs, considering one’s genetic information is becoming important for disease treatment. By constructing a network model integrating patient’s genetic information, the network dynamics in response to a drug is observable. Eventually my goal is to discover an optimal cancer drug specifically for the individual.

Keywords: Precision Medicine, Systems biology, Bioinformatics

Jungeun Lee (Systems Biology)
lje1108@kaist.ac.kr

Research Interests
One of the characteristics of biological phenomena is emergent property, which means "the whole is greater than the sum of its parts". With these characteristics, I think that the entire system should be targeted, not a single molecule, for the exploration of life. Therefore, I want to figure out factors and mechanisms that determine the fate of cells through systems biology and further realize precision medicine.

Keywords: Systems biology, Bioinformatics