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龔于農助理研究員 Dr. Yu-Nong Gong

龔于農 助理研究員

Yu-Nong Gong, Ph.D.

 

Current Position: Assistant Research Fellow, Research Center for Emerging Viral Infections, Chang Gung University, Taiwan

Education: Ph.D. in Department of Electrical Engineering, Chang Gung University, Taiwan

Research Interests: Bioinformatics, Next-Generation Sequencing, Machine Learning, Viral Evolution and Epidemiology

E-mail: yngong@mail.cgu.edu.tw

Tel: +886-211-8800 ext. 3726

 

Yu-Nong Gong obtained his master and Ph.D. degrees in Department of Computer Science and Information Engineering, and Department of Electrical Engineering, respectively, from Chang Gung University (CGU), Taiwan. He was a Visiting Scholar at Department of Biomathematics, University of California, Los Angeles, United States in 2010–2011 under the Graduate Students Research Abroad Program supported by the Ministry of Science and Technology, Taiwan. After receiving his Ph.D. in 2012, he worked as a postdoc research fellow in the Department of Computer Science and Information Engineering, CGU, Chang Gung Memorial Hospital (CGMH), and the Research Center for Emerging Viral Infections (RCEVI), CGU, followed by being appointed as an Assistant Research Fellow at RCEVI participating in the Higher Education Sprout Project supported by the Ministry of Education, Taiwan. His research interests include bioinformatics, next-generation sequencing (NGS), machine learning, and viral evolution and epidemiology.

 

The emergence and reemergence of fast-evolving RNA viruses caused numerous outbreaks in Taiwan and globally, continuously posing significant threat to the general public. Dr. Gong has actively collaborated with virologists and epidemiologists for studying emerging viruses (e.g., enteroviruses and influenza viruses), and involved in the development and application of computational approaches providing novel insights into the viral pathogenesis of infectious disease. Specific research topics of his studies include: 1) the implementation of NGS data analysis pipeline for detecting broad-spectrum antivirals in the picornaviruses, 2) the application of deep learning and sequencing technologies for probing novel viral species and their genetic characteristics, 3) the global influenza surveillance, and 4) the development of sequence and phylogenetic tree analyses for inferring epidemiological and evolutionary processes.

 

Research Experiences

Postdoctoral Fellow

·       Mar. 2017 – July 2018, Research Center for Emerging Viral Infections, Chang Gung University, Taiwan

·       Mar. 2015 – Feb. 2017, Department of Medical Laboratory, Linkou Chang Gung Memorial Hospital, Taiwan

·       Sep. 2013 – Feb. 2015, Department of Computer Science and Information Engineering, Chang Gung University, Taiwan

Visiting Scholar

·       Mar. 2010 − Mar. 2011, Departments of Biomathematics, Biostatistics and Human Genetics, University of California, Los Angeles, United States (Dr. Marc A. Suchard’s Lab)

 

Publications:

https://scholar.google.com.tw/citations?user=UmlU3gsAAAAJ

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