2020 Responsible Machine Learning Summit: AI and COVID-19
Luca Foschini, Co-founder and Chief Data Scientist, Evidation Health
Person-Generated Health Data (PGHD) for COVID19 Monitoring, Management, and Prevention.
Abstract: Person-Generated Health Data (PGHD) is individually-permissioned data gathered from smartphones, wearables and other sensors that has the potential to transform the way health is measured, with broad-ranging applications from clinical research to public health and health care at large. This talk will explore the potential of PGHD to be harnessed in the fight against COVID19 in several ways: from community hotspot detection, to individual monitoring of progression and support to frequent testing. In addition to reviewing data collection and analysis efforts for ongoing studies, we will highlight evidence gaps that need to be addressed to further our understanding of the role of PGHD in characterizing, managing, and preventing COVID19 outbreaks.
Biography: Luca is the Co-founder and Chief Data Scientist at Evidation Health, responsible for data analytics and research and development. At Evidation he has driven research collaborations resulting in numerous publications in the fields of machine learning, behavioral economics, and medical informatics. Previously, Luca held research positions in industry and academic institutions, including Ask.com, Google, ETH Zurich, and UC Santa Barbara. He has co-authored several papers and patents on efficient algorithms for partitioning and detecting anomalies in massive networks. Luca holds MS and PhD degrees in Computer Science from UC Santa Barbara, and ME and BE degrees from the Sant’Anna School of Pisa, Italy.