Workshop 2

Abby Johnson - University of Minnesota
Assistant Professor, School of Public Health, Division of Epidemiology & Community Health, and Assistant Director of the Nutrition Coordinating Center

Abby's research explores the personalized interactions between diet and the microbiome in healthy individuals, in immigrant populations, and during infant development. Her work focuses on developing and applying computational methods for nutritional datasets to better understand the complex interrelationships between diet, the microbiome, and health and disease... Read more here

Jim Rehg - Georgia Tech
Professor in the School of Interactive Computing, Director of the Center for Behavioral Imaging, co-Director of the Center for Computational Health, and co-Director of the Computational Perception Lab.

Jim’s research interests include computer vision, machine learning, behavioral imaging, and mobile health (mHealth). He is the Deputy Director of the NIH Center of Excellence on Mobile Sensor Data-to-Knowledge (MD2K), which is developing novel on-body sensing and predictive analytics for improving health outcomes. Jim is also leading a multi-institution effort, funded by an NSF Expedition award, to develop the science and technology of Behavioral Imaging... Read more here

Samantha Kleinberg - Stevens Institute of Technology
Associate Professor in the Computer Science department

Samantha aim to make use of observational data to gain insight into human health, and better prevent and treat disease. Her core research areas are methods for causal inference and explanation from complex data, discovery from observational biomedical data, and automated dietary monitoring. She is the author of Causality, Probability, and Time (Cambridge University Press, 2012) and Why: A Guide to Finding and Using Causes (O'Reilly Media, 2015)... Read more here

Nabil Alshurafa - Northwestern University
Assistant Professor of Preventive Medicine and of Computer Science (courtesy) and Electrical and Computer Engineering (courtesy)

Nabil currently leads the Sensor Analytics program in the Institute for Augmented Intelligence in Medicine and directs the HABits Lab at Northwestern, which aims to bridge between computer science and behavioral science research. His current research seeks to transform our understanding of health constructs by designing objective verifiable wearable sensor measures, to more effectively design interventions that improve lifestyle habits... Read more here

Oliver Amft - Friedrich Alexander University Erlangen-Nürnberg (FAU)
Professor and founding director of the Chair of Digital Health in Medicine

Oliver has co-authored over 180 scientific publications on context recognition, biomedical sensor technology, wearable computing, digital health, and embedded systems. Oliver is an Editorial Board member of IEEE Pervasive Computing, co-editing the Wearable Computing department and a founding editorial board member of the IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)... Read more here

David Kotz - Dartmouth University
Pat and John Rosenwald Professor of Computer Science

David's research interests include security and privacy, pervasive computing for healthcare, and wireless networks. He has published over 230 refereed papers, obtained over $80m in grant funding, and mentored nearly 100 research students. He is a Fellow of the IEEE, a Distinguished Member of the ACM, a 2008 Fulbright Fellow to India, a 2019 Visiting Professor at ETH Zurich, and an elected member of Phi Beta Kappa... Read more here