M. S. students

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.

Keyword
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.

Keyword
Systems biology, Bioinformatics

Jeonghwan Min (Life Science and Biotechnology)

m_jeonghwan@kaist.ac.kr

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

Geunyeong Park (Biochemistry)

rmsdud502@kaist.ac.kr


Research Interests
As human life expectancy increases, it has become important to find ways to overcome cancer. Systems biology construct a dynamic model on a biological network and identify the cellular functions of the dynamic model. Through extensive large-scale computer simulation analysis, we can identify molecular targets that reverse cancer processes  and also carry out experimental validation of the molecular targets. Ultimately, my research goal is not to simply remove cancer cells, but to find reverse control targets that returns them to their normal state through the systems biology approach. 


Keywords
Reverse control, Systems biology, Cancer biology

Yujin Nam (Computer Science)

yujin.nam@kaist.ac.kr


Research Interests

We have long believed aging is inevitable, but it may not. All living organisms are constructed based on what is written on the genome, and grow old as a ball rolling along a slope. I believe controlling this slope, which is genomic landscape, can cure aging. I'm exploring it with computing, network control theory, and cell experiments.


Keywords
Aging, Bioinformatics

Jonghoon Lee (Biological Sciences)

ijonghoon1@kaist.ac.kr


Research Interests

Like an elephant, by observing a small part of biological phenomena, it can be easily misunderstood. So, to conquer complex diseases such as aging and cancer, it is necessary to understand their emergent characteristics through a holistic approach. Especially, an approach using modeling can not only explain biological system but also predict how they will change to external stimuli. My research goal is creating the computational model for a biological system and finding master regulator which can reverse aged or cancer cell to normal health state. 


Keywords
Systems biology, Aging, Cancer biology