Kim, Donghyuk (김동혁)

Department

School of Energy and Chemical Engineering(에너지화학공학과)

Website

https://sites.google.com/view/systemskimlab

Lab

Systems Biology and Machine Learning Lab. (시스템생물학 머신러닝 실험실)

Research Keywords

시스템생물학, 머신러닝, 대사공학, 차세대염기서열분석법, Systems Biology, Machine Learning, Metabolic engineering, NGS

Research Interests

The research areas of Systems Biology and Machine Learning Lab are primarily based on the systems biology and machine learning approaches and their applications to study - Transcriptional regulation of bacterial pathogens including Salmonella and E. coli- Characterization of high-value bacterial strains- Anti-microbial resistance- Machine learning approaches for biological information
We have been applying the systems biology approaches to study bacteria, but there are also collaborators who expect us to apply those approaches to other types of organisms including yeast, fungi, and human cells.