Advisory Board and Editors Metabolic Sciences
Ghanshyam Palamaner Subash Shantha
Dr. Ghanshyam Palamaner Subash Shantha is an academic cardiac electrophysiologist and faculty physician at Wake Forest University. His clinical interests include atrial fibrillation, leadless pacemakers and ventricular tachycardia management, and his research interests include epidemiology and prevention of diseases.
Joram M Posma
Lecturer in Cancer Informatics at Imperial College London and Fellow at Health Data Research (HDR) UK. Fellow of the Higher Education Academy (FHEA) and Member of the Royal Society of Chemistry (MRSC).
Ripon Sarkar
Ripon Sarkar is a dedicated researcher with over a decade of experience in cutting-edge technology in the fields of mitochondrial metabolism, cardiovascular disease, cancer biology and tissue engineering. Dr. Sarkar has demonstrated a profound commitment to advancing scientific knowledge and innovation.
Currently serving as a Postdoctoral Research Fellow at The UTHealth at Houston, Dr. Sarkar's research focuses on cardiovascular disease, especially on aortic and coronary artery disease to understand the molecular mechanism. His proficiency in these areas has been instrumental in conducting groundbreaking research and publishing his findings in reputable scientific journals. Throughout his academic and professional journey, Dr. Sarkar has been recognized with numerous honors and awards.
Dr. Sarkar's dedication to advancing scientific knowledge is further evidenced by his service to the community and his editorial contributions to various scientific journals. He is committed to leveraging his expertise to address pressing healthcare challenges and make meaningful contributions to society.
Yuan Shang
Dr. Yuan Shang works on Alzheimer's Disease (AD) at the University of Arizona. He combines any potential methods and data to search potential therapeutic opportunities for AD. He is an expert on omics data analysis, multi-omics integrations, network-based pattern recognition, and machine learning-based biomarker discoveries.
Kenichi Shibuya
Professor of Kansai University.
Researching topics such as the Impact of exercise and physical activity on cognitive function, and on vascular health; the Impact of Flavors on taste perceptions; the Impact of Chewing on cerebral activation and Cognition; the Impact of Colors on taste perceptions
Edward R Smith
Professor Edward Smith is an Associate Professor in the Department of Medicine, University of Melbourne and Senior Scientist at the Kincaid-Smith Renal Laboratories, Department of Nephrology, The Royal Melbourne Hospital. He is interested in mineral metabolism and kidney disease.
Jeffrey A Stuart
Associated Professor and Chair of Biological Sciences.
The goal of my research program is to gain a better understanding of the molecular mechanisms underlying longevity. Mitochondria, via their contribution to energy metabolism, cell death pathways, and redox regulated signal transduction pathways, are thought to be important effectors of longevity. We use a comparative approach to study these in mammalian species, including those that are exceptionally long-lived. We are also exploring the ability of small molecules including selective estrogen receptor modulators and phytoestrogens to modulate mitochondrial function and affect aging and longevity.
Arja L.T. Uusitalo
I am high level professional in the field of research (for 25 years), academic teaching, health care leadership and quality work. My Medical Specialties are clinical physiology and nuclear medicine and sports and exercise medicine. I have experience and additional education in leadership and management (UEF and LUT), service design and quality in clinical practice, and experience in lean management and process. Lately, I have worked with health technology and digitalization and preventive health care. My deepest knowledge is in stress research and physiology and interests in technology in welfare sector to improve quality, productivity, processes and occupational health.
Natascia Ventura
Natascia Ventura received her MD and PhD degrees at the University of Rome and her post-doctoral training at the University of Colorado at Boulder. Since 2012 she leads the Mitochondrial-associated aging and diseases group and her research mainly uses C. elegans as a powerful genetic tractable organism to unravel mechanistic aspects of mitochondrial-stress control of longevity and to develop models for human mitochondrial-associated diseases.
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.
G. William Wong
Dept. of Physiology and Center for Metabolism and Obesity Research, Johns Hopkins University.
Dr. G. William Wong is Professor of Physiology at the Johns Hopkins University School of Medicine. His research focuses on mechanisms governing metabolic homeostasis, function of adipose-and skeletal muscle-derived hormones, and mechanisms of insulin resistance and type 2 diabetes.
He received in B.S. from Washington State University and his Ph.D. from Harvard University in 2000. Dr. Wong completed post-doctoral work in biochemistry, cell biology, and physiology at M.I.T’s Whitehead Institute from 2001 - 2007. He joined the Johns Hopkins faculty in 2008.
Dr. Wong’s lab seeks to understand mechanisms employed by cells and tissues to maintain metabolic homeostasis and is currently addressing how adipose- and skeletal muscle-derived hormones (adipokines and myokines), discovered in his lab, regulate tissue crosstalk and signaling pathways to control energy metabolism.