Editorial Board Member - JCSB
Dr. Danail Bonchev received his PhD degree in quantum chemistry from the Bulgarian Academy of Sciences (Sofia), and in 1984 he was awarded SciD degree by the Lomonosov Moscow State University (Russia). Postdoctoral experience in St. Petersburg University (Russia), University of Milano (Italy), Max-Planck Institute in Mulheim, Ruhr and Technical University in Merseburg (Germany), University of Paris-7 (France), as well as Texas A&M University and Virginia Commonwealth University (US). Full Professor of Physical Chemistry with Assen Zlatarov University in Burgas, Bulgaria (1987-1992). With Texas A&M University in Galveston since 2002. Since 2003/2004 Professor of Mathematics and Director for research in bioinformatics, networks and pathways at the Center for the Study of Biological Complexity , Virginia Commonwealth University (VCU). Elected Corresponding Member of the Bulgarian Academy of Sciences; elected member of the International Academy of Mathematical Chemistry.
Long time interests in theoretical/mathematical chemistry: Characterization of molecular structure by quantum chemistry, information theory and graph theory. Since 2002 joined the new area of systems biology and computational biology, with a focus on molecular level. Developed the first graduate course in network biology in 2006. Research interest in analyzing and quantifying complexity of networks.
Current Research: Network theory and its biomedical applications, including evolutionary studies, identification of markers and drug candidates, molecular mechanisms of diseases.
Other Editorial Board Members - JCSB
Bioinformatics Research Centre
Nanyang Technological University
Department of Bioinformatics
Center for Bioinformatics and Systems Biology
Wake Forest University
Department of Medicine
Baylor College of Medicine
School of Informatics and Computing
Department of Computer Science
Department of Molecular & Microbiology
George Mason University
College of Veterinary Medicine
Western University of Health Sciences
Centre for Advanced Computational Solutions