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

Kyubin Park (Biological Sciences)

parkk1@kaist.ac.kr

Research Interests
There have been several studies on cancer and aging. However, such diseases could not be resolved because of the complexity arising from numerous regulating relations and components. I believe computing biological phenomena in a systemic manner can dissolve the complexity and offer new insights. My research goal is to construct a computational model for cancer or aging and demonstrate a network-based treatment strategy. And eventually suggest insights for solving diseases we thought inevitable.

Keywords

Systems biology, Network control, Bioinformatics

Hyunsoo Yeo (Bio and Brain Engineering)

nky0309@kaist.ac.kr

Research Interests
By analyzing large-scale datasets and using network control theory, we can identify key nodes and signaling pathways as targets that are crucial for reversion cancer cell to normal cell. Ultimate goal is to develop novel therapeutic strategies that targets, thereby restoring normal cellular behavior and inhibiting cancer progression. I believe we can make significant strides towards developing more effective cancer treatments and improving patient outcomes.

Keywords
Cancer biology, Network control, Systems biology

Insoo Jung (Bio and Brain Engineering)

tothetop@kaist.ac.kr

Research Interests
One of the goals of science is treating irreversible biological phenomenon such as cancer and aging. Among many treatments, reversion of these processes is novel method. To research about the reversion of irreversible biological phenomenon, we should figure out relationships between biological components. I think that the usage of Boolean network make us to handle a lot of informations comfortably. Based on control theories of Boolean network, I want to find targets for realistic biological reversion of irreversible biological process.

Keywords
Reversion, Boolean network, Control theory