Advisory Board and Editors Radiology & Medical Imaging
Luca Testarelli
Professor Testarelli is Associate at the 1st Faculty of Medicine and Surgery of the University of Rome “La Sapienza” since 2006. Dentist in Dental Clinic of Policlinico Umberto I’s Hospital of Rome since 2011. He completed a Ph.D with the highest marks at the University of Rome “La Sapienza” (2004) and obtained a Specialization Diploma in Orthognathodontics, at the University of L’Aquila (2008). Professor Testarelli is a member of several scientific national and international associations, and a member of the editorial board for several dental scientific journals. He is also Professor of Dental Restorative, Endodontics in School of Dentistry in Sapienza University of Rome, Professor of Oral Care in School of Dental Hygienist in Sapienza University of Rome and Professor of PhD Dentistry in Sapienza University of Rome.
Alessandro M Viganò
Dr. Alessandro Viganò is a Neurologist at the Fondazione Don Gnocchi in Italy.
His areas of expertise include Headaches, Migraine, Severe Brain Injury, Strokes, Dysphagia, Focal Muscle Vibration.
Jamie D Walls
Jamie D. Walls obtained his PhD in chemistry in 2003 from UC Berkeley under the supervision of Alex Pines. He subsequently performed postdoctoral research at UCLA (with Prof. Yung-Ya Lin) and at Harvard University (with Prof. Eric J. Heller) before joining the faculty at the University of Miami in 2008, where he is currently an Associate Professor in the Department of Chemistry.
The research in the Walls group mainly focuses on nuclear magnetic resonance (NMR) methodological development and applications and studying spin physics. In particular, there is a focus on research into improving resolution in NMR and expanding the ways we can control spin dynamics.
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 >60 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).
Jennifer L Whitwell
Associate Consultant and Associate Professor of Radiology, Mayo Clinic.
Research focuses on the investigation of neuroimaging biomarkers in different neurodegenerative disorders, particularly frontotemporal dementia, primary progressive aphasia, atypical Alzheimer's disease and progressive supranuclear palsy.
Editorial board member, Scientific Reports journal, Nature Publishing Group, 2014-present
Academic Editor, PeerJ journal, 2012-present
Junior Investigator Award for Excellence in Imaging and Aging Research, American Federation for Aging Research-GE Healthcare, 2010
Best Paper in Alzheimer's Disease Neuroimaging: New Investigator Award, Alzheimer's Association, 2009
Yu-Dong Zhang
From 2010 to 2012, Dr. Yudong (Eugene) Zhang worked at Columbia University as a postdoc. From 2012 to 2013, he worked as an assistant research scientist at Columbia University and New York State Psychiatric Institute. From 2013 to 2017, he is a full professor and doctoral advisor at School of Computer Science and Technology at Nanjing Normal University. He also serves as the academic leader of the“Jiangsu key laboratory of 3D printing equipment and manufacturing”. At present, he is a Professor in Knowledge Discovery and Machine Learning, in Department of Informatics, University of Leicester, United Kingdom. His research interests focus on computer-aided medical diagnosis and biomedical image processing.