Academic Editors

The following people constitute the Editorial Board of Academic Editors for PeerJ. These active academics are the Editors who seek peer reviewers, evaluate their responses, and make editorial decisions on each submission to the journal. Learn more about becoming an Editor.

Wenbao Qi

Director of Department of Animal Infectious Diseases, College of Veterinary Medicine,South China Agricultural University(SCAU),Guangzhou,China.
Associated Director of National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, Guangzhou, China.
Focusing on animal influenza viruses and Japanese Encephalitis Viruses(JEV), include (1) The molecular basis of the host range and virulence of influenza viruses, (2) New vaccines of avian influenza viruses(AIV), (3) The evolution of AIVs, (4) Virus protein(AIV,JEV) and host interaction.

Pei-Yuan Qian

Chair Professor of Division of Life Science and Director of Environmental Science Programs of Hong Kong University of Science and Technology (HKUST), Founding Director of Coastal Marine Lab of HKUST and Founding President of Pacific Institutes of Marine Sciences, Editor or Editorial Board Member of >10 international journals. Inventor of patents on marine bioactive compounts.

Zhaohui S. Qin

Dr. Qin is currently an Associate Professor in the Department of Biostatistics and Bioinformatics at Rollins School of Public Health, Emory University. He is also a faculty member at the Department of Biomedical Informatics, Emory University School of Medicine. Dr. Qin received his B.S. degree in Probability and Statistics from Peking University in 1994 and Ph.D. degree in Statistics from University of Michigan in 2000. He was a postdoctoral fellow in Dr. Jun Liu’s group in Department of Statistics at Harvard University from 2000 to 2003. He joined the Department of Biostatistics at University of Michigan in 2003. In 2010, he moved to his current position in Emory University. Dr. Qin has more than 15 years of experience in statistical modeling and statistical computing with applications in statistical genetics and genomics. Recently, his research is focused on developing Bayesian model-based methods to analyze data generated from applications of next generation sequencing technologies such as ChIP-seq, RNA-seq and resequencing. Dr. Qin also actively collaborates with biomedical scientists and clinicians on various projects that utilizing next generation sequencing technologies to study cancer genomics. Dr. Qin has published more than 100 peer-reviewed research papers covering statistics, bioinformatics, statistical genetics and computational biology. He has supervised more than 10 graduate students and postdoctoral fellows.

Aaron R Quinlan

Aaron Quinlan, Ph.D., is an Associate Professor in the Departments of Human Genetics and Biomedical Informatics at the University of Utah. He obtained his bachelor’s degree from the College of William and Mary and his Ph.D. from Boston College where he focused on population genetics, new methods for emerging DNA sequencing technologies, and the discovery and characterization of genetic variation. He performed a postdoctoral fellowship at the University of Virginia where he developed expertise in structural variation of mammalian genomes and somatic genome mutation. He started his laboratory at the University of Virginia in 2011 and began his faculty position at the University of Utah in early 2015. Broadly speaking, his research is focused on the development and application of new computational and statistical techniques for understanding the biology of the genome. His team tackles problems with practical importance to understanding genome variation, chromosome evolution and mining genetic variation related to human disease. Understanding the genome is a hard problem: we try to develop new approaches to gain insight into genome evolution in the context of disease.

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