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.
Keyword Systems biology, Cancer biology, Bioinformatics, Immunology
Jae Hyuk Choi (Chemical and Biomolecular Engineering)
Research Interests As biotechnology improves, massive amounts of biological data is accumulated. Such data therefore, needs to be processed in order to understand the interactions between the components and understand the biological system. In order to understand such regulatory networks, biotechnology along with the use of computers is required and will eventually help solve problems regarding human health.
Keyword Network control theory, Systems biology, Machine/Deep learning
Soo Min Lee (Life Science & Computer Science)
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.
Keyword Precision Medicine, Systems biology, Bioinformatics
Jungeun Lee (Systems Biology)
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.
Keyword Systems biology, Bioinformatics
Minseo Ahn (Biology)
Research Interests The development of BT and IT has allowed scientists to study living things from a new perspective called System biology. Systems biology is a new field of biological research in which biological networks are constructed and analyze dynamic interactions of biomolecules. This helps us understand various life phenomena, including cancer and aging. My research goal is to construct biological networks associated with cancer and aging, and use the models to find novel drug targets for cancer and aging-related diseases.
Keyword Systems biology, Cancer biology, Aging, Network modeling
Woojeong Lee (Biological Sciences)
Research Interests There have been many studies on cancer so far, and the complexity of cancer pathways and the heterogeneity between cancer subtypes have become more prominent. However, in order to do research beyond one step further than now, cancer should be viewed from a different perspective. My interest is to find a common property, which is not about individual genes but about complex interactions of various genes, that can penetrate all specific networks of various cancer subtypes. And by applying this concept in practice, my ultimate goal is to treat malignant cancer cells to become more controllable.
Keywords Systems biology, Cancer biology, Stem cell, Network control
Jeonghwan Min (Life Science and Biotechnology)
Research Interests Although we have progressed tremendously in elucidating individual signaling pathways, much of what happens when these pathways interact with each other is still unknown. This is a serious problem because real cellular dynamics happen at a multiple-pathway level.
Systems biology seeks to simulate real cellular dynamics by focusing on these pathway interactions. With the systems biology approach, I seek to create a platform for discovering novel drug targets and drug combinations for a disease. My ultimate goal is to use this platform to cure long-unresolved diseases such as cancer and aging.
Keywords Systems biology, Systems pharmacology, Cancer biology, Aging