Dr. Dawn Elizabeth Bowles, PhD is Assistant Professor in Surgery within the Division of Surgical Sciences at Duke University School of Medicine. She obtained her Ph.D. in Microbiology from Louisiana State University.
2002 Radiology Staff at the Erasmus University Medical Center (EMC) of Rotterdam, NL
2005 PhD in Cardiac Imaging at the EMC, Rotterdam, NL
2006-2011 Head of Cardiac Imaging at the Academic Hospital, Parma, IT
2011-2015 Head of Cardiac Imaging at the Giovanni XXIII Clinic, Monastier, IT
2012 UHD-Associate Professor of Radiology at EMC, Rotterdam, NL
2015 Director CT Core Lab at Montréal Heart Institute/Université de Montréal, Canada
2015 Associate Professor of Radiology at Montréal Heart Institute/Université de Montréal, Canada
Author of ~900 publications: 12 books, 86 book chapters, 347 scientific papers, >260 oral presentations, and >260 posters (h-index = 59).
Davide Chicco is a scientific researcher at the University of Toronto. He received his PhD. from Politecnico di Milano in 2014, and his MSc. in Computer Science from the University of Genoa, Italy in 2010. From September 2018 to January 2020 he was a researcher at the University Health Network (Toronto, Ontario, Canada). Davide Chicco's research centres on biomedical informatics and machine learning.
Research Fellow and Clinical Nurse, Centre for Heart Rhythm Disorders, University of Adelaide. Specialising in novel models of care delivery and lifestyle and cardiovascular risk factor management to improve outcomes in cardiovascular disease.
1997: PhD Cancer Research Centre of the Russian Academy of Medical Sciences, Moscow.
1997-2001: Postdoc at the University of Regensburg
2001-2007: Junior group leader/PI and lecturer, University of Heidelberg.
2007- 2010:Senior group leader/PI and senior lecturer, University of Heidelberg
2010-2013: Professor, head of the Lab for Cellular and Molecular Biology of Innate Immunity;
2013-permanent: Professor, head of Department for Innate Immunity and Tolerance, University of Heidelberg.
Dr. Xing Li is an Assistant Professor and Associate Consultant in the Division of Biomedical Statistics and Informatics, Department of Health Science Research at Mayo Clinic - voted the best hospital by U.S. News & World Report. Dr. Li completed his PhD in Bioinformatics from The University of Michigan at Ann Arbor, Michigan, USA. Dr. Li also holds a Masters Degree in Biochemistry and Molecular Biology and Bachelors Degree in Microbiology. Dr. Li’s research interests focus on machine learning, bioinformatics, and statistical data mining in large scale data in biomedical research, such as next generation sequencing data (whole genome sequencing, RNA-seq, microarray data), in the file. He has published more than 20 peer-reviewed papers in reputable journals and book chapters in the fields of Bioinformatics and Biostatistics, cancer research, cardiovascular disease, embryonic stem cell (ESC) and induced pluripotent stem cell (iPSC) research, and human genomics, genetics and development, and Microbiology. Dr. Li’s publications have been highlighted as Journal Cover Stories, Journal Featured Articles, Highlights Section Papers, Must Read by Faculty 1000, and ESC & iPSC News, etc. Dr. Li has been developing data analysis tools, such as RCircle and PCA3d, etc. Dr. Li is also a member of American Association for Cancer Research (AACR), International Society for Computational Biology (ISCB), American Statistics Association (ASA) and American Heart Association (AHA).
Laurent Metzinger has completed his PhD in Biological Sciences and Pharmaceutical studies in Strasbourg, France and was a postdoctoral fellow from the University of Oxford (UK) in a leading lab on Duchenne muscular Dystrophy (Pr. Kay Davies). He works on microRNA regulation in the HEMATIM team in Amiens, and focuses on anemia and related vascular disorders associated with Chronic Kidney DIsease. He has authored some of the first papers showing a role for microRNAs in CKD and published in reputed journals, including Nature and Cell. He teaches Biochemistry, Genetics and Molecular Biology in the Pharmacy School of Amiens (Université de Picardie Jules Verne).
Kamarul Imran Musa is Associate Professor in Epidemiology and Statistics at the School of Medical Sciences, Universiti Sains Malaysia. He is also Fellow of the American College of Epidemiology and a Public Health Medicine Specialist. Dr. Musa's research focuses on communicable and non-communicable diseases where he uses cutting-edge epidemiological and statistical models.
Cardiologist, Scripps Clinic; Assistant Professor, Scripps Translational Science Institute; Visiting Scholar, University of California - San Diego. Judge, Qualcomm Tricorder XPRIZE; Fellow of the American College of Cardiology. M.D., PhD. - Albert Einstein College of Medicine; M.C.T.I.- The Scripps Research Institute.
Prof. Helder Nakaya is Deputy Director of School of Pharmaceutical Sciences at University of São Paulo, Brazil, Associate Professor at University of São Paulo, Brazil, and Adjunct Professor of the School of Medicine, Emory University, USA. He has a PhD in Molecular Biology with extensive training in Bioinformatics. He is an expert in Systems Vaccinology, an interdisciplinary field that combines systems-wide measurements, networks, and predictive modelling in the context of vaccines and infectious disease. Dr. Nakaya has developed systems biology approaches to understand and predict the mechanisms of vaccine induced-immunity for Yellow Fever, seasonal Influenza, Meningococcal, and Tularemia vaccines. His lab is focused on investigating the basis of infectious diseases using computational systems biology.
I am a Professor in Biostatistics and Clinical Research Methodology in the Department of Clinical Medicine at the Miguel Hernández University (Spain).
My research is focused on biostatistics, clinical research methodology, cardiovascular diseases and pediatrics.
Dr. Peng is a Professor of Data Science at the University of Sunderland. He is a Principal Investigator in Bioinformatics and Systems Biology and Medicine, and Principal Data Scientist working on Big Data Integration, Data Mining and Computational Intelligence. Dr. Peng's Data Science and BioMedical informatics (DS & BMI) research group focuses on development of innovative data analytics approaches to enable systematical analysis of biological data, medical images, and healthcare data and to gain new knowledge and insights from the integrative analytics of diverse data sources.