Ph. D. students

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

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

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

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, Cell Fate and Dynamics, Tumor Microenvironment

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

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

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

Hojun Lee (Biological Sciences)

freefromseoul@kaist.ac.kr

Research Interests
I am deeply interested in systems biology, where complex interactions between genes, proteins, and metabolites are studied as dynamic networks rather than isolated components. By integrating multi-omics data with computational modeling, I aim to uncover principles that explain how biological systems adapt, fail, or can be reprogrammed.

Keywords
Systems biology, Deep learning

Yoonsu Na (Biology & Convergence Software)

ysna99@kaist.ac.kr


Research  Interests

As human health and cancer treatment is becoming one of the most important issue among the world, I think Systems Biology is a key breakthrough to deal with these issues. By modeling and analyzing various biological networks, we might be able to find novel target which is engaged in reversion of tumor to normal state. With concepts of Boolean network and control theory, I think it is not impossible to make a therapeutic strategies for unconquered cancer types.

Keywords
Network modeling, Network control, Cancer Biology

Lisa Chuttoo (Bio-Medical Engineering)

lisa.chuttoo@kaist.ac.kr

Research Interest

The study of the processes of carcinogenesis, especially the onset of cancer and the critical transition to malignancy, drives my work. By integrating the different theories of cancer, the goal is to enhance the relevance of these frameworks for translational medicine and maximize their clinical impact on patient care.


Keywords

Cancer biology, Cancer theories, Translational oncology