Students

Ph. D. students

Jonghoon Lee (Biological Engineering)

smallworld@kaist.ac.kr

Research Interests

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.

Keyword
Cancer systems biology, RKIP, signal transduction pathway, multi-agent modeling.

Jeong-Ryeol Gong (Biomedical Science)

jrgong@kaist.ac.kr

Research Interests
Cancer is basically a disease of uncontrolled cell division beyond the surveillance of immune cells. Thus, Immunological cancer reversion is the best anti-cancer therapeutic strategy. For this purpose, a network-based treatment strategy is established using high-throughput data including single-cell RNA seq data. If cancer cells can be returned to an immunologically vulnerable state, the cancer is expected to be removed by immune cells and cured naturally.

Keyword
Cancer systems biology, Immunology, Bioinformatics

Yunseong Kim (Bio and Brain Engineering)

verato@kaist.ac.kr

Research Interests
The first goal of my research is to mapping or visualizing the cell states of cancer. Based on these maps, I want to control the cancer cell and lead them into apoptosis with targeted anti-cancer drugs. Furthermore, I hope to rewind the cancer cells into normal cells by modulating the signal transduction pathway.

Keyword
Cancer systems biology, Apoptosis, Rewinding cell fate, Targeted anti-cancer drugs

Jongwan Kim (Biology & Mathematics)

yena2bell@kaist.ac.kr

Research Interests
I'm interested in systems biology. I want to analyze the cell as a gene regulatory network using mathematical modeling method. I assume that life network dynamics is chaotic so there are simple principles which make up a complex life phenomenon. I expect the mathematical models to show the principles of complex life phenomena.

Keyword
Systems biology, Network control, Mathematical modeling

Younghyun Han (Computer Science)

yhhan87@kaist.ac.kr

Research Interests
To know what is life, we have to see life as a system. So I would like to analyze and understand life system by mathematical modeling and computer simulation. Also, I am interested in building tailored therapy strategy through systems biology.

Keyword
Systems biology

Hongjun Chang (Biology)

hjchang23@kaist.ac.kr

Research Interests
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.

Keyword
Neural network modeling, Network theory

Chun-Kyung Lee (Biology)

chunkyung@kaist.ac.kr

Research Interests
Reductionism approach is still needed to study cells in depth. But that's insufficient in uncovering the fundamental biological mechanisms. I want to integrate all information obtatined through experimental biological discoveries and reveal the mechanisms in holism. Especially, I am interested in developing therapeutics to block metastatsis that would be fatal for cancer patients.

Keyword
Systems biology, Cancer biology

Uiryong Kang (Life Sciences & Electrical Engineering)

urkang@kaist.ac.kr

Research Interests
Without doubt, brain is one of the most vital organ in maintaining normal body function. Besides, it is probably the most efficient computing machinery mankind has ever found. Because this marvelous organ has hierarchical structures and properties of complex network at all scales, it should be studied by tools of network science in a systematic manner. In this context, I have a great interest in figuring out hidden scientific principles of brain function retained in various brain networks.

Keyword
Network neuroscience, Comparative connectomics, Network control theory

Namhee Kim (Bio and brain Engineering)

csng0482@kaist.ac.kr

Research Interests
I'm interested in cancer metastasis. To understand biology better and to control cells, I want to analyze biological data and gene regulatory network using systems biology.

Keyword
Cancer biology, Network theory, Systems biology

Seong-hoon Jang (Bio and brain Engineering)

jangdeath@kaist.ac.kr

Research Interests
I am interested in complex network of cancer micro-enviroment which is comprised with various cell types. I believe that understanding and controlling of this dynamic network give a new insight for cancer therapy.

Keyword
Immunology, Cancer System biology, Bio-informatics,

Hoon-min Kim (Physics & Bio and Brain Engineering)

hunmin007@kaist.ac.kr

Research Interests
As biological systems of cells contain numerous components with complex regulating relations and their dynamics unknown, it is difficult to predict biological behaviors of complex diseases for certain conditions. Reconstructing the regulatory network for computational modelling from high-throughput experimental data would provide optimal treatment strategy for complex diseases with network control theory combined. My research interest lies on network model reconstruction strategy and network control theory.

Keyword
Systems biology, Network inference, Control theory

Juhee Kim (Life Sciences)

juheekim@kaist.ac.kr

Research Interests
I want to learn about convergence studies linked to life science and to use various methods to help understand biological phenomena. As biology has characteristics of 'complexity' and 'connectivity', it is effective to analyze biological phenomena from different perspectives that utilize high-throughput data and construct network models. I am particularly interested in what triggers cancer and what makes cancer subtypes different from each other.

Keyword
Cancer, Complex network, Network modeling, Control theory

Hyunjin Kim (Nursing & Biomedical Science and Engineering)

hyunjin0430@kaist.ac.kr

Research Interests
My interest is cancer. I would like to analyze a lot of information about cancer in order to understand it from a system biological perspective. Through this, I want to understand the mechanism of cancer and suggest effective treatment.

Keyword
Cancer, Systems biology, bioinformatics

Kyeong Hwan Han (Biotechnology)

gksrudghks77@kaist.ac.kr

Research Interests
I'm interested in treatment of cancer. Cancer is one of the most complex phenomenons and it has emergent properties, so i belive that systemistic approachs are needed for conquest of cancer. I want to make a contribution to treatment of cancer using methodology of systems biology, immunology, and synthetic biology. I'm interested particulary in two thing. First, repressing cancer cell's expresion of inhibitory molecules like PD-L1. Second, immune cell control to kill cancer cells specifically.

Keyword
Systems biology, Immunology, Synthetic biology

Dongok Nam (Genetic Engineering & Electrical Engineering and Computer Science)

dongoknam@kaist.ac.kr

Research Interests
Biological mechanisms arise from interaction with molecules. To understand the biological mechanisms and diseases in a holistic way, I want to analyze and build the biological network from the high-throughput data. I have interest in unraveling the fundamental mechanisms of diseases using systems biology approach and providing efficient treatment strategies.

Keyword
Systems biology, Network biology

Corbin Hopper (Bio & Brain Engineering)

chopper@kaist.ac.kr

Research Interests
I am exploring how computers give insight into biology and how biology can inspire computation. As an example of the first direction, simulating genetic networks can evaluate strategies to redirect cancer cells towards a healthy state. The other direction includes evolutionary algorithms. I am especially interested in information theory, which has been linked to energetic efficiency. Imitating how living organisms adapt may offer tractable ways to untangle complex networks.

Keyword
Network control, Information theory, Cancer systems biology, Boolean networks

Woojeong Lee (Biological Sciences)

frship35@kaist.ac.kr

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

Jae Hyuk Choi (Chemical and Biomolecular Engineering)

jhchoii@kaist.ac.kr


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

Seoyoon Jeong (Physics & Life Science)

syjeong@kaist.ac.kr


Research Interests
I have been interested in the systematic analysis of living things, from molecular dynamics to ecosystems. These days I focus on tumor and inflammation diseases. Due to the intrinsic heterogeneity of the tumor itself and tumor microenvironment (TME), they become one of the most complex phenomena. My goal is to build a universal cancer model working across various species in the view of translational research to compensate for the difference between animal models and human patients.


Keyword
Systems biology, Complex network, Immunology, Cancer biology

 

M. S. students

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