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Yanming Yang Ph.D.

Yanming Yang Ph.D.

Assistant In Bioinformatics, Translational Sciences

yanming.yang@med.fsu.edu
850-645-0019
Main Campus

Job Description

Dr. Yang is a bioinformatics scientist at the College of Medicine, Florida State University. He has been involved in diverse computing systems administration, including High-Performance Computing (HPC) system installation, configuration and maintenance, DT-HSS3, Next-Generation Sequencing facility, and bioinformatics systems administration, software development and data analysis for NextGen sequencing.

Biosketch

Dr. Yang is currently an Assistant In at the Translational Sciences Laboratory, Florida State University College of Medicine. He received his undergraduate training in biology at Shandong Agricultural University, China, and then obtained an MS degree from Shanghai Institute of Plant Physiology, Chinese Academy of Sciences. Following the graduate studies, he worked as a research scientist in plant physiology at Henan Academy of Agricultural Sciences. Dr. Yang got his PhD degree in molecular biology from University of Arkansas, and then worked as a postdoctoral research associate at University of Florida, focusing on characterizing virus pathogenesis and generating transgenic resistance to virus diseases in plants. Meanwhile, he got an MS in computer engineering from University of Florida, emphasizing bioinformatics. After working several years as system programmer, IT consultant, bioinformatics system administrator and analyst, Dr. Yang joined the faculty of Florida State University as an Assistant In at the College of Medicine.

Education

B.S., Biology, Shandong Agricultural University, TaiAn, China

M.S., Biology, Chinese Academy of Sciences, Shanghai, China

M.S., Computer Engineering, University of Florida, Gainesville, Florida

Ph.D., Molecular Biology, University of Arkansas, Fayetteville, Arkansas

Research Focus

Bioinformatics system administration

HPC medical computing and data storage management

Bioinformatics application development and deployment

Genomics data analysis