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

Myoungbo Kang (Biotechnology & Statistic)

mbkang@kaist.ac.kr

Research Interests
I aim to conduct integrated research, spanning biology to computer modeling and simulations. While traditional cancer treatments mainly involve chemotherapy or surgery, there's a growing expectation that addressing the complexity of gene regulatory networks could lead to a more foundational and reversible approach to cancer treatment. My goal is to extract insights from extensive datasets, understand biological networks, and experimentally validate these findings, contributing to innovative and effective cancer therapeutic strategies.

Keywords
Cancer biology, Reverse control, Systems biology

Junseo Seo (Systems Biomedical Science)

juneseo99@kaist.ac.kr

Research Interests
I focus on the interdisciplinary field of bioinformatics, single-cell genomics, spatial transcriptomics, and systems biology. My research primed on constructing reliable gene regulatory networks and uncovering key factors that regulate these networks, driving changes in biological phenotypes. By analyzing such gene regulatory networks from single-cell or spatial data, my goal is to reveal and control cell fate decisions. I also explore processes such as differential gene expression and cellular trajectory construction to gain deeper insights into cellular behavior. Ultimately, I aim to simulate these complex processes computationally, with the long-term vision of developing strategies to manipulate cell fate, potentially leading to breakthroughs in the treatment and reversion of cancer and other severe diseases.

Keywords
Bioinformatics, Single cell genomics, Spatial transcriptomics, Systems biology

Minkyung Kim (Life Science & Biological Information SW)

minkyung32@kaist.ac.kr

Research Interests
I want to research to advance healthcare infrastructure and broaden patient treatment options through personalized medicine. Personalized medicine provides treatment strategies based on an individual's genome, but it targets only specific genetic markers. It can overlook the complex interactions among these markers. Therefore, I think it is crucial to understand the intricate interactions within gene regulatory networks using a systems biology approach. Through computer simulations, I aim to discover therapeutic targets that can lead to more effective cancer treatments. This work will contribute to the advancement of precision medicine, ultimately aiming to enhance treatment options for patients.

Keywords
Cancer biology, System biology, Bioinformatics

Rafsan Rahman Raayan (Bio & Brain Engineering, Electrical Engineering)

rafsan.raayan@kaist.ac.kr

Research Interests
My research interests center on advancing systems biology through both the modeling of biological processes and the refinement of the methods by which they are studied. I am particularly drawn to applying principles from control theory and network theory to uncover how complex regulatory interactions shape diverse phenomena such as cancer progression, aging and neural circuit operation. Beyond constructing and analyzing multi‐dimensional models of biological systems, I seek to improve computational and mathematical tools that enhance our ability to capture, interpret, and predict biological dynamics. By bridging engineering methodologies with biological knowledge, I aim to contribute to a deeper and more rigorous understanding of living systems and their potential interventions.

Keywords
Control theory, Network theory, Systems biology, Cancer biology, Aging

Seoyoung Yoon (Biosystems and Biomedical Sciences)

seoyoung09@kaist.ac.kr

Research Interests
Cancer is a disease with high mortality that imposes profound psychological and physical burdens on patients and their families, resulting in a significant societal cost. My research goal is to develop alternative therapeutic strategies that minimize the severe side effects often associated with conventional cancer treatments, while maintaining or even enhancing therapeutic efficacy. To achieve this, I aim to elucidate the systems-level biological mechanisms underlying cancer initiation and malignancy, identify key drivers that promote tumor progression, and design interventions that suppress these pathological processes. Ultimately, my objective is to provide safe and effective treatment options that meaningfully reduce the suffering of patients and their loved ones, thereby improving their overall quality of life.

Keywords

Cancer therapy, Systems biology

Nabi Gali (Life Science and Biotechnology)

nabigali5@kaist.ac.kr

Research Interests
I am interested in the mechanisms of cancer development and progression, with a particular focus on how cellular states, gene regulation, and tumor plasticity influence treatment outcomes. My work explores molecular pathways, therapeutic resistance, and innovative strategies to control or reverse malignant processes, aiming to contribute to more effective approaches in biomedical research and oncology.

Keywords

Cancer biology, Molecular biology, Systems biology

Hee Kyung Jo (Biochemistry)

joheek@kaist.ac.kr

Research Interests
My research interest focuses on how cancer cells respond to varying drug concentrations and how these dose-dependent effects shape cellular fate decisions. I aim to understand the molecular mechanisms that determine whether cells undergo apoptosis, cell cycle arrest, or adaptive survival under therapeutic stress. By comparing different cancer cell models, I seek to explore heterogeneity in drug responsiveness and the stability of regulatory states. Ultimately, I am interested in how perturbation of key transcriptional regulators can reshape gene networks and attenuate oncogenic phenotypes.

Keywords
Cancer cell fate plasticity, Gene regulatory network remodeling, Tumor heterogeneity

Arundhati Sanjith (Nanosciences and Molecular Medicine)

arundhatisanjith@kaist.ac.kr

Research Interests

My research interests focus on cancer biology and the idea of cancer reversion driven by the need to develop alternative therapeutic strategies that can overcome the limitations, patient burden, and risk of recurrence associated with conventional treatments. I am particularly interested in understanding cancer as a complex, dynamic system. I’m especially interested in viewing cancer as a dynamic system. I aim to pursue integrative approaches that bridges computational and experimental biology to better understand and eventually modulate complex cancer processes.

Keywords

Cancer biology, Computational–experimental integration, Systems-level therapeutic modulation

Natasya Paulita (Biological Science)

natasyap@kaist.ac.kr

Research Interests

My research interest lies in uncovering the molecular regulatory networks that govern cancer cell fate decisions, particularly apoptosis and drug resistance. I am especially interested in understanding how key master regulators control signaling pathways and transcriptional programs in treatment-resistant cancers. By perturbing selected candidate regulators, I aim to examine how these interventions reshape intracellular signaling dynamics and alter gene expression patterns that enable cancer cells to survive therapy. Through reconstructing network-level mechanisms, I hope to clarify how tumor heterogeneity arises and how adaptive resistance develops over time.

Keywords

Molecular regulatory networks, Cell fate decisions, Tumor heterogeneity and adaptive resistance