Professional Scientific Collaborator, 2021.03-present, Department of Molecular Medicine, Scripps Research
Postdoctoral Associate, 2019.03-2021.01, Department of Molecular Medicine, Scripps Research
Postdoctoral fellow, 2015.03-2019.02, Institute of Medical and Biological Engineering in Medical Research Center, Seoul National University
Research Interests
Our laboratory is interested in exploring how protein conformational changes, such as those associated with protein aggregation, misfolding, or turnover,
impact cellular physiology and lead to human diseases. In this regard, we focus on the development and application of mass spectrometry-based structural and quantitative
proteomic methods aimed at monitoring protein conformational changes in complex cellular conditions. We combine these tools with classical biochemical, cell biological,
genetic approaches and machine learning algorithms in several lines of research.
Our research encompasses the area of artificial intelligence, bioinformatics, biostatistics, software development, and clinical applications.
Selected Publication
Clinical Assay for AFP-L3 by Using Multiple Reaction Monitoring-Mass Spectrometry for Diagnosing Hepatocellular Carcinoma. Clinical Chemistry (ISSN: 0009-9147), 64 (8), 1230-1238 (2018/08/01).
Clinical application of multiple reaction monitoring-mass spectrometry to human epidermal growth factor receptor 2 measurements as a potential diagnostic tool for breast cancer therapy. Clinical Chemistry (ISSN: 0009-9147), 66 (10), 1339-1348 (2020/10/01).
Prediction of Response to Sorafenib in Hepatocellular Carcinoma: A Putative Marker Panel by Multiple Reaction Monitoring-Mass Spectrometry (MRM-MS). Molecular & Cellular Proteomics (ISSN: 1535-9476), 16 (7), 1312-1323 (2017/07/01).
Clinically Applicable Deep Learning Algorithm Using Quantitative Proteomic Data. Journal of Proteome Research (ISSN: 1535-3893), 18 (8), 3195-3202 (2019/07/17).
