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Giorgio Quer

Giorgio Quer is the Director of Artificial Intelligence at the Scripps Research Translational Institute, where he is leading the Data Science and Analytics team within the All of Us Research Program’s Participant Center (NIH). The Participant Center spearheads the enrollment of new participants and their engagement in the program.

His research focuses on artificial intelligence and probabilistic modeling applied to heterogeneous data signals, in order to extract key information and make predictions on future occurrences based on past data. He is involved in several digital medicine initiatives within the Scripps Research Digital Trials Center. For the DETECT study, he is developing algorithms to predict COVID-19 and other viral infections from wearable sensor data. He is responsible for collaborations with several industry partners, studying changes in heart rate and sleep data monitored by commercial wearable devices. He is also interested in the detection and modeling of atrial fibrillation from single-lead ECG signals. He is leading the collaboration with the Halicioglu Data Science Institute at UC San Diego towards the development of new AI models for health data.

He received his Ph.D. degree in Information Engineering from the University of Padova, Italy, and he continued his studies as a Postdoctoral researcher with the Qualcomm Institute at the University of California San Diego. He is a Senior Member of the IEEE and a Distinguished Lecturer for the IEEE Communications Society.

Lecture Topics
  • Machine Learning in Digital Medicine
  • Big Health Data with Wearables: Sensing, Processing and Outcomes
  • Device-to-Device Communication in 5G
  • Cellular and Device-to-Device Networks: towards Non-orthogonal Coexistence
Virtual Lecture Topics
  • DETECT: Wearable Sensor Data to Predict COVID-19 and Viral Illnesses
  • Machine Learning in Digital Medicine
  • Big Health Data with Wearables: Sensing, Processing and Outcomes
Email Address
gquer@scripps.edu
Lecture Term Date
Location
United States
Reports