Advisory Board and Editors COVID-19
Gizachew Tessema
Dr. Gizachew Tessema is a perinatal and reproductive epidemiologist and health care services researcher with research interest that employed advanced statistical analyses, mixed methods research (MMR), and qualitative study. He is currently based at the Curtin School of Population Health, Curtin University.
Truc Thanh Thai
Associate Professor Truc Thanh Thai has a background in public health and a PhD in health sciences from the University of Sydney, Australia. He has been working in the field of Biostatistics, Epidemiology and Research Methodology and is the Head of Department of Medical Statistics and Informatics at Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam. Dr. Thai has been proactively working with researchers worldwide to address practical, public health issues. His research interests include Biostatistics, Data sciences, Artificial intelligence, Epidemiology, Mental health, Adolescent health, and quality of life in people with chronic diseases, HIV/AIDS, and Substance use.
Shinya Tsuzuki
Shinya Tsuzuki is a researcher at National Center for Global Health and Medicine, Japan. Currently he leads several research projects related to infectious disease epidemiology, such as disease burden of antimicrobial resistance, COVID-19 epidemics, quantitative evaluation of vaccination policy in Japan, and so forth.
Ana Tereza Ribeiro Vasconcelos
Ana Tereza Vasconcelos is Senior Researcher Scientist at the National Laboratory for Scientific Computing and coordinator of the Bioinformatics Laboratory and the Computational Genomics Unit Darcy Fontoura de Almeida at National Laboratory of Scientific Computation (LNCC). Her team has experience in the area of Bioinformatics and Computational Biology. Using High Performance Computing and AI working on the following topics: Genomics, Development of software applications in Bioinformatics and computational tools applied assembly, annotation and comparison of genomes, metagenomics, exomes and transcriptomics applied to many different model organisms. Since 2020 he has worked in the generation and analysis of SARS-CoV-2 genomes, mainly in the identification of new lineages.
Shailendra Kumar Verma
Dr. Shailendra Kumar Verma is currently a postdoctoral fellow at La Jolla Institute for Immunology, California, USA. He pursued his Ph.D. from Central Drug Research Institute, India in the field of vaccine immunology. Dr. Verma joined DRDE, and had been a scientist since 2005 to 2021. His major research area focused onto the vaccine and therapeutic development against infectious diseases. He has published more than 25 publications in peer reviewed journals of highly repute. Dr. Verma has more than 15 years of research experience in infection and immunology. His present research at La Jolla institute for Immunology is focused onto the vaccine/therapeutic development against SARS-CoV-2 and ZIKA virus.
Shibiao Wan
Dr. Shibiao Wan is currently an Assistant Professor in the Department of Genetics, Cell Biology and Anatomy, and the Co-Director for the Bioinformatics and Systems Biology (BISB) PhD Program at University of Nebraska Medical Center (UNMC). He is also an Assistant Professor (courtesy) in the Department of Biostatistics at UNMC.
With more than 15 years of experience in machine learning, bioinformatics, and computational biology, Dr. Wan has published >50 articles in top-tiered journals such as Genome Research, Nature Communications, Science Advances, Circulation Research, Briefings in Bioinformatics, and Bioinformatics. Dr. Wan is the Editor-in-Chief for Current Proteomics, and an Associate Editor/Academic Editor/Editorial Board Member for a series of prestigious journals such as Briefings in Functional Genomics, Heliyon, BMC Bioinformatics, International Journal of Microbiology, PeerJ Computer Science, BioMed Research International, and Computational and Mathematical Methods, and a guest associate editor for multiple high-impact journals.
He is a Scientific Program Committee (SPC) member for American Medical Informatics Association (AMIA) Annual Symposium and a Technical Program Committee (TPC) member for >20 machine learning related international conferences including IEEE ICTAI. Dr. Wan is also a reviewer for >70 prestigious journals including Nature Biotechnology, Nature Methods, Nature Communications, Nature Computational Science, Science Advances, Nucleic Acids Research, Advanced Science, Cancer Research, Genome Biology, and Genome Medicine. Dr. Wan has received a number of accolades including the Springer Nature Editor of Distinction Award in 2025 by Springer Nature, the New Investigator Award in 2024 by UNMC, the FIRST Award in 2023 by Nebraska EPSCoR, the Outstanding Young Alumni Award in 2022 by HK PolyU as well as the Global Peer Review Awards (top 1%) in “Cross-Field” and “Biology and Biochemistry” in 2019 by Clarivate. Dr. Wan is a member of AACR, AMIA, ISCB and ACM and an IEEE Senior Member.
Dapeng Wang
Dr Dapeng Wang is a Senior Bioinformatician in Integrative Analysis at the COMBAT consortium at the University of Oxford using multi-omics techniques in combination with the cutting-edge bioinformatic approaches and statistical methods to explore the pathogenesis of COVID-19 and stratification of patients as well as inform the treatment strategy based on genomics information.
Dr Wang received a bachelor’s degree in mathematics from the Shandong University in 2006 and obtained a PhD degree in bioinformatics from the Beijing Institute of Genomics of the Chinese Academy of Sciences in 2011. After his graduation, he continued to conduct research at the same institute from 2011 to 2014 and afterwards moved to the UK to take up various roles at the Cancer Institute at the University College London (2014-2016), the Department of Plant Sciences at the University of Oxford (2016-2018) and the LeedsOmics at the University of Leeds (2018-2020).