Giorgio QuerView profile
Assistant Professor
Giorgio Quer, PhD, is an Assistant Professor of Digital Medicine in the Department of Integrative Structural and Computational Biology at Scripps Research. He leads the Artificial Intelligence division for large-scale digital medicine studies, including the DETECT initiative tracking 40,000 participants using wearable devices. His work focuses on developing AI-driven methods for analyzing big health data from wearables like smartwatches and ECG patches. Education includes a PhD in Information Engineering from the University of Padova (2008–2011), a MicroMBA from UC San Diego's Rady School of Management (2018), and earlier degrees in Information Engineering and Telecommunications Engineering from Padova (2002–2007). He has held roles as a Research Scientist at Scripps Research Translational Institute (2017–present) and Postdoctoral Researcher at UC San Diego (2011–2016). Research interests span AI in healthcare, wearable sensor analytics, and public health surveillance. Notable contributions include predictive models for atrial fibrillation using ECG data, frameworks for AI transparency (MI-CLAIM/GEN checklists), and studies on vaccine reactogenicity monitoring through wearables. Awards : IEEE Distinguished Lecturer (2018, 2020, 2022), IEEE Senior Member (2016), and multiple academic fellowships. Labs/Teams : Directs AI initiatives in Scripps' digital medicine programs, coordinating interdisciplinary teams for large-scale health data analysis. Key projects include the DETECT study for real-time pandemic tracking and the PowerMom platform for maternal health monitoring. His work emphasizes ethical data use and advancing clinical AI standards.










