Advisory Board and Editors Computational Biology
Yuliang Zhang
Dr. Zhang is a Staff Scientist from Lawrence Livermore National Laboratory. He holds a PhD in Pharmaceutical Sciences. His research mainly focuses on bio-molceular interaction by using microscopy and Molecular Dynamic simulations. He served as PI and Co-I in two projects.
Degui Zhi
Associate professor (with tenure) of Biostatistics, University of Alabama at Birmingham; Ph.D. in Bioinformatics, University of California, San Diego; M.Sc. in Computer Science, National University of Singapore. Current research interests include bioinformatics and statistical genetics problems relating to next-generation sequencing and the integration of multiple types of Omics scale data.
Jiayan Zhou
Jiayan Zhou is a Senior Computational Bioinformatician at Palo Alto Veterans Institute for Research (PAVIR). He was a postdoctoral scholar at Stanford University School of Medicine, specializing in Cardiovascular Medicine, Population Genetics, and Molecular Biology. He is a computational geneticist with a special interest in advancing statistical methodologies and software frameworks tailored for integrating multi-omics data, aimed at elucidating novel therapeutic avenues for various human diseases. He also actively explores the intersection of AI and healthcare, leveraging AI models to address intricate challenges in healthcare delivery and patient outcomes.
Yaoqi Zhou
Professor Zhou graduated with a BS in Chemical Physics from University of Science and Technology of China in 1984 and a PhD in Chemical Physics from State University of New York at Stony Brook in 1990. He switched his research field to computational biology when he was a postdoctoral research fellow at Harvard University with Professor Martin Karplus from 1995 to 2000. He was an Assistant Professor and later Associate Professor at Department of Physiology and Biophysics at State University of New York at Buffalo from 2000 to 2006 and became a full Professor when he joined Indiana University School of Informatics at Indianapolis in 2006. He was a director of Bioinformatics program at the School of Informatics since 2007. Starting June 2013, he joined School of Information and Communication Technology and Institute for Glycomics at Griffith University as a Professor of Computational Biology. Dr. Zhou has published more than 170 peer reviewed articles and is known for his widely used bioinformatics tools such as SPARKS for protein structure prediction and DFIRE for protein binding and folding scoring functions.
Matteo Zucchetta
Matteo Zucchetta obtained his PhD thesis entitled "Habitat distribution models for the management of fishery and conservation concern species in lagoon environment” at the University Ca’ Foscari Venice (Italy). He has previously covered the position of researcher University Ca’ Foscari Venice (Department of Environmental Sciences, Informatics and Statistics) and at the National Centre for Coastal Zone Protection and Characterization, Marine Climatology and for Operational Oceanography of the Italian Institute for Environmental Protection and Research (ISPRA). Since 2020 he is a researcher of the Institute of Polar Sciences of the National Research Council of Italy. His work was carried out in the framework of different EU and Italian projects, and his main research topics are: 1) analysis of the spatial distribution of plant and animal species in coastal and transitional water bodies; 2) Community ecology in transitional water ecosystems; 3) Use of fish fauna assemblages as indicators of ecosystem ecological status; 4) Ecological models for food webs analysis; 5) Climate changes effects on aquatic ecosystems.