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P. Gong et al.
and the FDA scientific achievement award (2017). He has been co-chairing the FDA Liver Toxicity Working Group since 2014 and edited the book “Drug-induced Liver Toxicity” that was published by the Springer in 2018. His primary research interests encompass drug-induced liver
injury, drug safety, bioinformatics, and personalized medicine. He has authored or co-authored
more than 90 original publications and book chapters.
Huixiao Hong is Chief of Bioinformatics Branch, Division of Bioinformatics and Biostatistics,
National Center for Toxicological Research (NCTR), US Food and Drug Administration (FDA),
working on the scientific bases for regulatory applications of bioinformatics. Before joining the
FDA, he was Manager of Bioinformatics Division of Z-Tech, an ICFI company. He was a research
scientist at Sumitomo Chemical Company in Japan and a visiting scientist at National Cancer
Institute at National Institutes of Health. He was also Associate Professor and Director of Laboratory of Computational Chemistry at Nanjing University in China. Dr. Hong is a member of
the steering committee of OpenTox, a member of board directors of US MidSouth Computational
Biology and Bioinformatics Society, and is in the leadership circle of US FDA modeling and
simulation working group. He published more than 180 scientific papers and served as Editorin-Chief and Editorial Board member for multiple peer-reviewed journals. He received his Ph.D.
from Nanjing University in China in 1990 and conducted research in Leeds University in England
in 1990–1992.
Chaoyang Zhang is Professor in the School of Computing Sciences and Computer Engineering at the University of Southern Mississippi (USM). His research interests include data mining,
machines learning, big data analytics, and their applications to interdisciplinary areas of bioinformatics, health care, and toxicity analysis. His research has been supported by the National Science Foundation (NSF), Department of Defense (DOD), National Academy of Sciences (NAS),
and National Institute of Health (NIH). Dr. Zhang received his MS in computer science and Ph.D.
in computational analysis and modeling from Louisiana Tech University. Prior to joining USM in
2003, he was a research assistant professor in the Department of Computer Science at the University of Vermont.
P. Gong et al.
and the FDA scientific achievement award (2017). He has been co-chairing the FDA Liver Toxicity Working Group since 2014 and edited the book “Drug-induced Liver Toxicity” that was published by the Springer in 2018. His primary research interests encompass drug-induced liver
injury, drug safety, bioinformatics, and personalized medicine. He has authored or co-authored
more than 90 original publications and book chapters.
Huixiao Hong is Chief of Bioinformatics Branch, Division of Bioinformatics and Biostatistics,
National Center for Toxicological Research (NCTR), US Food and Drug Administration (FDA),
working on the scientific bases for regulatory applications of bioinformatics. Before joining the
FDA, he was Manager of Bioinformatics Division of Z-Tech, an ICFI company. He was a research
scientist at Sumitomo Chemical Company in Japan and a visiting scientist at National Cancer
Institute at National Institutes of Health. He was also Associate Professor and Director of Laboratory of Computational Chemistry at Nanjing University in China. Dr. Hong is a member of
the steering committee of OpenTox, a member of board directors of US MidSouth Computational
Biology and Bioinformatics Society, and is in the leadership circle of US FDA modeling and
simulation working group. He published more than 180 scientific papers and served as Editorin-Chief and Editorial Board member for multiple peer-reviewed journals. He received his Ph.D.
from Nanjing University in China in 1990 and conducted research in Leeds University in England
in 1990–1992.
Chaoyang Zhang is Professor in the School of Computing Sciences and Computer Engineering at the University of Southern Mississippi (USM). His research interests include data mining,
machines learning, big data analytics, and their applications to interdisciplinary areas of bioinformatics, health care, and toxicity analysis. His research has been supported by the National Science Foundation (NSF), Department of Defense (DOD), National Academy of Sciences (NAS),
and National Institute of Health (NIH). Dr. Zhang received his MS in computer science and Ph.D.
in computational analysis and modeling from Louisiana Tech University. Prior to joining USM in
2003, he was a research assistant professor in the Department of Computer Science at the University of Vermont.