C.F. Rehnborg Chair in Disease Prevention at Stanford University, Professor of Medicine, Professor of Health Research and Policy, and Professor (by courtesy) of Biomedical Data Science at the School of Medicine; Professor (by courtesy) of Statistics at the School of Humanities and Sciences; co-Director, Meta-Research Innovation Center at Stanford; Director of the PhD program in Epidemiology and Clinical Research. Professor Ioannidis is a physician-scientist and writer with contributions in evidence-based medicine, epidemiology and public health, data science and clinical research. He has pioneered the field of meta-research (research on research). He says that much of the published research doesn't meet good scientific standards of evidence. His PLoS Medicine paper on “Why most published research findings are false” has been the most-accessed article in the history of Public Library of Science (>2.5 million hits). He has recently directed his focus on nutrition research, recently publishing “The Challenge of Reforming Nutritional Epidemiologic Research” as a Viewpoint in JAMA. He was a Visiting Senior Fellow in Science, Technology & Society at Harvard Kennedy School and was named a Young Global Leader by the World Economic Forum. He is currently building a new purpose-driven data and AI startup.
Dr. Naumova is the Chair of the Division of Nutrition Data Science at the Friedman School of Nutrition Science and Policy. Her research activities span a broad range of programs in emerging and re-emerging diseases, environmental epidemiology, molecular biology, nutrition, and growth. Her primary expertise is in development of analytical tools for spatiotemporal and longitudinal data analysis applied to disease surveillance. Her current interest is in understanding factors governing seasonal patterns and establishing methodology for assessing disease seasonality.
Kayla de la Haye is an Assistant Professor of Preventive Medicine at the University of Southern California, where she directs the USC Center for Applied Network Analysis. She works to promote healthy eating and prevent disease in families and communities by applying social network analysis and systems science. Dr. de la Haye is a member of the Board of Directors of the International Network of Social Network Analysis, and she holds a Ph.D. in psychology from the University of Adelaide, Australia.
Yelena Mejova is a Research Leader at the ISI Foundation, Turin, Italy, member of the Digital Epidemiology group. Previously, she was a Scientist in the Social Computing Group at the Qatar Computing Research Institute (QCRI). Specializing in social media analysis and mining, her work concerns the quantification of health and wellbeing signals in social media, as well as tracking of social phenomena, including politics and news consumption. She co-edited a volume on the use of Twitter for social science in Twitter: A Digital Socioscope, and spoken widely about the use of social media for epidemiology, demography and social science.
Dr. John de la Parra is an ethnobotanist and plant chemist with specialties in medicinal plants and food crops. He is the Research Lead at the MIT Media Lab’s Open Agriculture Initiative where his work focuses on how phenotypic variation and human selection influence plant-based drug discovery and food choice. He holds additional appointments as an Associate researcher at Harvard University where he heads up the Harvard Herbariome Project, as a Lecturer of Environmental Studies at Tufts University, and a Lecturer of Biotechnology at Northeastern University.
Dr. Burçin Bozkaya earned his B.S. and M.S. degrees in Industrial Engineering at Bilkent University, Turkey and his Ph.D. in Management Science at the University of Alberta, Canada. He is currently working as a Professor of Business Analytics at Sabanci University School of Management and also the Director of Behavioral Analytics and Visualization Lab in Istanbul, Turkey. Dr. Bozkaya is an active researcher in the field of behavioral (big data) analytics and has publications in numerous international journals in the fields of spatio-temporal analysis, vehicle route planning and optimization, location-based services and (spatial) decision support systems.
Dr. Pachucki is an Assistant Professor in the Department of Sociology and the UMass Computational Social Science Institute. His research interests include social determinants of health, culture, and social network dynamics. If we better understand how, when, and why people are connected, we can gain insight into how health and culture changes at the individual, interpersonal, and population level over time. Prior to his UMass position, he was on the faculties at Massachusetts General Hospital and Harvard Medical School. His post-doctoral training was with the Robert Wood Johnson Foundation Health & Society Scholars program at UC Berkeley and UCSF. His research is currently supported by the National Institutes of Health (NICHD, NINR, NHLBI), and has been supported by the National Science Foundation, the Robert Wood Johnson Foundation, National Institute on Aging, National Institute of Diabetes and Digestive and Kidney Diseases.
Abigail Horn is a Postdoctoral Fellow in the Center for Applied Network Analysis at the at the University of Southern California Keck School of Medicine. Her work focuses on modeling network structure and transmission dynamics and integrating emerging information sources to solve problems relating to preventing infectious and chronic diseases. Abigail recently led a research project at the German federal-level food protection agency to develop, implement, and evaluate algorithms and decision support systems for modeling food supply networks to identify the source of large-scale outbreaks of foodborne disease. Her current work involves integrating digital trace data to quantify the impact of mobility on food consumer behavior, nutrition, and health.
Giulia Menichetti is an Associate Research Scientist at the Network Science Institute (Barabasi Lab, Northeastern University). She is a physicist, with a background in network modeling of biological information. She currently leads the Foodome project that aims to track the full chemical complexity of the food we consume and develop quantitative tools to unveil, at the mechanistic level, the impact of these chemicals on our health.