The COVID-19 DETECT Study” until we come up with a more specific one
Speaker: Mr. Leo Wolansky Director, Data Strategy and Products Pandemic Prevention Institute and Ms. Jennifer Radin,| Senior Staff Scientist, Scripps Research Translational Institute
Le Wolansky: As a data product professional, Leo has a passion for connecting disciplines to deliver modern data and analytics solutions that solve social or organizational problems. He’s spent most of his career at the nexus of product management, research, data, and analytics, previously in the fields of politics and business. Upon joining The Rockefeller Foundation, Leo was the Data Product Manager for Health Initiative, including its Precision Public Health and COVID-response work – a key role where he identified opportunities to support and leverage digital technologies to strengthen global health systems and improve health outcomes. Formerly, he was the VP of Analytics at Applecart, which specialized in leveraging social, demographic, and psychographic data to guide electoral campaign strategy and targeting.
As Director of Data Strategy and Products on the Pandemic Prevention Institute team, Leo is responsible for delivering user-driven data products that mitigate the threat of pandemics. He serves as a connector across the science, engineering, and partnerships teams, as well as between the PPI and its target users. He works with PPI and its partners to catalyze product innovations, improved access to and use of data, and harmonized data standards that better prepare the world for pandemics.
Jennifer Radin: Jennifer Radin is an epidemiologist with the Digital Medicine Division at Scripps Research Translational Institute, where she conducts research to improve disease prediction and prevention by incorporating digital devices, sensors and platforms. She is currently the Principal Investigator for DETECT, an app-based research study that seeks to understand if data from wearable devices can provide early indications of viral infections, such as influenza and COVID-19. She is also working on PowerMom, a study that utilizes a digital research platform that allows pregnant women to contribute their health information to the study using a smartphone app, The study aims to better understand physiological and behavioral factors that influence a healthy pregnancy, identify complications earlier, and provide more individualized recommendations that reflect the diversity of all pregnant women.
Before joining the Translational Institute, she worked with the Operational Infectious Disease Department at the Naval Health Research Center and the Influenza Division at the Centers for Disease Control and Prevention. Jennifer received her doctoral degree in Epidemiology from the University of California, San Diego and San Diego State University. She also holds a master’s of public health, specializing in Epidemiology of Microbial Diseases, from Yale University and a bachelor’s degree in Biology from the College of William and Mary.