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

Jiyoon Jeon (Mechanical and Biomedical Engineering, CS)

jiyoon817@kaist.ac.kr

Research Interests
Driven by a computational systems biology approach, my goal is to safely reverse complex diseases such as cancer and aging while minimizing off-target toxicity. I aspire to build patient-tailored simulation models that identify optimal, customized therapeutic strategies for disease reversal at an individual level.

Keywords
Systems biology, Cancer biology, Aging, Bioinformatics