Zeeshan Ahmed, PhD, Rutgers, The State University of New Jersey, USA
Dr Zeeshan Ahmed is an Assistant Professor at the Department of Medicine / Cardiovascular Disease and Hypertension, Rutgers Robert Wood Johnson Medical School (RWJMS); and Core Faculty Member at the Institute for Health, Health Care Policy and Aging Research (IFH), Rutgers, The State University of New Jersey. Dr Ahmed’s lab at Rutgers is focused on implementing Artificial Intelligence (AI), Machine Learning (ML), and standard bioinformatics approaches to multi-omics/genomic and phenotypic data for the identification of patterns revealing predictive biomarkers and risk factors to support earlier diagnosis of patients with complex traits.
Shibiao Wan, PhD, University of Nebraska Medical Center, USA
Dr Shibiao Wan is an Assistant Professor and the Assistant Director for Bioinformatics and Systems Biology Core at University of Nebraska Medical Center (UNMC). With more than 13 years of experience in bioinformatics and machine learning, Dr Wan has published >40 articles in prestigious journals. Dr Wan is an editorial board member for a series of prestigious journals including Briefings in Functional Genomics, and BMC Bioinformatics and also a reviewer for >50 high-impact journals. He is a TPC member for >20 machine learning related international conferences including IEEE ICTAI and IEEE IAICT and is an IEEE Senior Member.
Fan Zhang, PhD, University of Colorado School of Medicine, USA
Dr Fan Zhang and her lab are at the intersection of the Department of Medicine Division of Rheumatology and the Department of Biomedical Informatics Center for Health Artificial Intelligence in the University of Colorado Anschutz Medical Campus. The Zhang Lab focuses on developing advanced computational AI and statistical methods for single-cell omics to study immune-mediated inflammatory disease pathogenesis for translational medicine. As primary authors, her lab has published high-impact papers at Nature, Nature Immunology, Science Translational Medicine, BMC Bioinformatics, Bioinformatics, etc.
Wen Zhong, PhD, Linköping University, Sweden
Dr Wen Zhong is a docent and Assistant Professor at Linköping University. Her research mainly focuses on the integration of multi-omics, the interplay between genetics and phenotypes, and the development of data-driven strategies/tools for precision medicine. The aim is to investigate the molecular biomarkers for the estimation of disease risks, early diagnosis of disease, stratification of drug treatment response, disease progression monitoring, and the stratification of patients.