• Period: 2022.12 ~ 2025.02

• Education:

2017.03 ~ 2023.02 B.S., Microbiology & Molecular Biology, Chungnam National University

• Project:

(1)  Identification of ADORA2A Interactome in Cell Lines

(2)  Discovery of Multidimensional Protein Biomarkers in Pancreatic Cancer Tissues

(3)  Development of a Kinomics-Based Antibiotic Resistance Control Platform

•  Summary:

I am actively involved in researching the following domains: "Expression of Interactome in Specific Environments," "Detection of Multi-Markers in Cancer," and "Analytics of Kinase Networks in Prokaryotes." These areas entail an in-depth exploration facilitated by mass spectrometry analysis. The research approach places a significant emphasis on the viability of conducting analyses using mass spectrometry, with a focus not only on quantitative changes but also on fostering interdisciplinary collaboration.

Leveraging mass spectrometry analysis offers notable advantages, as it enables seamless integration across a spectrum of research fields. The results obtained from these analyses form the bedrock for subsequent research endeavors. Here, the application of machine learning and algorithms plays a pivotal role in deciphering the findings. This approach gives rise to a plethora of interpretations that facilitate a diverse range of visualizations, predictive path analyses, and an exploration of interconnected networks, all with the aim of uncovering potential correlations.

With these findings as a foundation, my trajectory involves delving into research concerning the identification of biomarkers in vivo and the diagnosis of specific diseases. This research path is firmly rooted in the comprehensive insights gleaned from the aforementioned studies and holds the potential to make meaningful contributions to the advancement of medical diagnostics and the broader landscape of disease discovery.