About the Journal

Dr. Uzun has a strong analytical background and extensive experience in bioinformatics and biotechnology. As the Director of Clinical Bioinformatics at Lifespan, Dr. Uzun oversees the bioinformatic analysis of Next Generation Sequencing (NGS) based clinical assays.  In addition to her clinical work, she performs research in the areas of bioinformatics tool and algorithm development, network biology, machine learning based predictive models with a specific focus on cancer as well as neurodevelopmental disorders. Her research team is a group of individuals from multiple disciplines and diverse backgrounds. Dr. Uzun has served as an Associate Editor in two other journals before she joined JMIR Bioinformatics and Biotechnology ast the new Editor-in-Chief. She will focus on supporting the editorial board to improve the visibility of JBB and excel the quality of the publications.

Dr. Uzun is currently the Director of Clinical Bioinformatics and Associate Director of Clinical Cancer Informatics and Data Science (CCIDS) at Lifespan and an Associate Professor of Pathology and Laboratory Medicine at Brown University Alpert Medical School.  She has a B.S in Chemical Engineering and M.Sc in Biological Sciences and Bioengineering. She completed her PhD in Chemical Engineering at Northeastern University in 2010 and focused  on mathematical modeling of drug delivery systems. During her postdoctoral training, she worked on computational genetics and bioinformatics with a focus on neurodevelopmental disorders.

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Shruti Kochhar, BPharm, MS, Managing Editor

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Editorial Board Members (Section Editors)

Alper Uzun, MS, PhD

Associate Professor, Brown University, USA

Dr. Alper Uzun is an Associate Professor of Pathology and Laboratory Medicine, with a secondary appointment in Pediatrics and Director of Cancer Bioinformatics at Legorreta Cancer Center at Brown University. Dr. Uzun trained formally as a computational biologist and bioinformatician. He has extensive knowledge and experience in clinical biochemistry, bioinformatics, human genetics, and genomics from his training. Dr. Uzun uses genomics and bioinformatics to study the genetic basis of complex diseases, specifically cancer. He is developing new computational approaches in network biology, variant data analysis, and visualization in order to gain a better understanding of complex diseases. His research group works on translational bioinformatics, focusing on the genetics of complex diseases especially focused on cancer from a network biology perspective. 

Sean M. Hacking, MB, BCh, BAO

Assistant Professor, NYU Grossman School of Medicine, USA

Dr. Sean M. Hacking is a physician-scientist with a research interest in machine intelligence, distributed ledger technology, genomics, and translational oncology. Dr. Hacking obtained his MB, BCh, BAO from the National University of Ireland, Galway and completed his residency in Anatomic and Clinical Pathology at the Donald and Barbara Zucker School of Medicine in New York. He further refined his expertise with a fellowship in Gastrointestinal and Surgical Pathology at Rhode Island Hospital and Brown University. He has previously served as a clinical investigator at The Princess Margaret Cancer Centre, University of Toronto. Currently, Dr. Hacking is an Assistant Professor in the Department of Pathology at NYU Grossman School of Medicine, where he continues to contribute to the field of pathology with both extensive research and innovation.

Carol Cheung, MD, PhD, JD, FRCPC

Associate professor, University of Toronto, Canada

Dr. Cheung is an anatomical pathologist with a research interest in quality assurance, novel biomarkers in oncology, and pathology informatics. Dr. Cheung received her MD and completed her residency in Anatomical Pathology at the University of Toronto. She obtained her Ph.D. training in cellular and molecular biology at the Ontario Cancer Institute. At present, she is a staff anatomical pathologist specializing in genitourinary pathology at the University Health Network (UHN) and is an associate professor in the Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto.

Zongliang Yue, MS, PhD

Assistant research professor, Harrison College of Pharmacy, USA

Dr. Zongliang Yue is an assistant research professor in the Harrison College of Pharmacy's Department of Health Outcomes Research and Policy. He joined the college in March 2023. Dr. Yue's past research has focused on utilizing biological data mining, systems biology, network biology, machine learning, visual analytics, and translational informatics to improve human health. He has also constructed several web servers and applications for functional genomics downstream analysis and drug repositioning. Dr. Yue's research involves characterizing driving genes and underlying molecular mechanisms using multi-omics and single-cell data. Additionally, he is a session chair of the Midsouth Computational Biology and Bioinformatics Society and serves on the editorial boards of RE:GEN Open and Frontiers in Artificial Intelligence.

Shulan Tian, PhD

Associate professor, Mayo Clinic, USA

Shulan Tian is an Associate professor of Biomedical Informatics at the Center for Individualized Medicine, Mayo Clinic, Rochester. She earned her PhD at the University of Minnesota in 2016. Dr. Tian's research interests and experience focus on population genomics studies, precision medicine, machine learning in healthcare, and translational bioinformatics.

Huihuang Yan, PhD

Associate professor, Mayo Clinic, USA

Dr. Huihuang Yan received his PhD from the Chinese Academy of Agricultural Sciences. Currently, Dr. Yan is an Associate Professor of Biomedical Informatics in the Division of Computational Biology, Mayo Clinic. He supports the Center for Individualized Medicine Epigenomics Program in translational research. His primary focus is genomics and epigenomics of lymphoma.

Aik Choon Tan, PhD

Professor, University of Utah, USA

Dr Aik Choon Tan is the Senior Director of Data Science at the Huntsman Cancer Institute, University of Utah. He is a professor of Oncological Sciences and Biomedical Informatics and holds the Jon M. and Karen Huntsman Endowed Chair in Cancer Data Science. His research interests are translational bioinformatics and cancer systems biology, primarily in developing computational and machine learning methods for the analysis and integration of high-throughput cancer "omics" data in understanding and overcoming treatment resistance mechanisms in cancer. His lab acts as a "connector" to provide seamless integration of computational and statistical methods in experimental and clinical cancer research.

Joseph Finkelstein, MD, PhD, FAMIA

Professor, University of Utah, USA

Dr. Finkelstein is a Professor and Vice-Chair for Clinical Data Science and Telemedicine Informatics at the Department of Biomedical Informatics at the University of Utah, where he directs a research program focusing on the development, implementation, and evaluation of data science approaches for real-world evidence generation from real-world data. Dr. Finkelstein’s primary area of expertise is biomedical informatics with a particular focus on innovative health information technologies supporting the collection and analysis of real-world data obtained from multiple heterogeneous data streams.