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.

So-Yeong Jang (Electronic Engineering)

jangsy@kaist.ac.kr

Research Interests
There are a lot of unsolved problems of brain with emergent properties. I think that there is a set of simple regulations in brain network for complex output that we cannot understand intuitively. I want to analyze the mechanism and reasoning of brain network dynamics through the network control theory.

Keyword
Systems biology, Network dynamics, Network biology

Sea Choi (Cell Biology)

seachoi@kaist.ac.kr

Research Interests
Cancer research encompasses studies on cell cycle regulation, apoptosis, and tumor initiation, progression as well as metastasis that are involved in different singling pathways, underpinning the efforts to evaluate new therapies and tools to treat patients with cancer. Tumorigenic and stem cells conceptually share a similarity that they are capable of proliferating extensively. I am particularly interested in elucidating the dialogue between the tumor cells and molecular basis of stem cell self-renewal which can contribute to cancer progression and possibly reversion. I also want to apply systems biology to unravel this complicated molecular interactions.

Keyword
Cancer biology, Stem cell biology and regenerative medicine, Signaling pathways

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

 

M. S. students

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.

Keyword
Systems biology, Cancer biology, Bioinformatics, Immunology

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

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

Minseo Ahn (Biology)

simon126@kaist.ac.kr

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)

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

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