Wharton Club of Northern California - Analytics at Wharton Series: Reopening Greece with Data-Driven COVID-19 Testing

Analytics at Wharton Series: Reopening Greece with Data-Driven COVID-19 Testing

Led be Professor Hamsa Bastani, this 1st webinar in the 4-part Analytics at Wharton Series examines the application of machine learning to manage the threat of COVID-19 in Greece, where tourism is a cornerstone of the economy.

ANALYTICS AT WHARTON SERIES: REOPENING GREECE WITH DATA-DRIVEN COVID-19

Friday, October 9, 2020

Led be Professor Hamsa Bastani, this 1st webinar in the 4-part Analytics at Wharton Series examines the application of machine learning to manage the threat of COVID-19 in Greece, where tourism is a cornerstone of the economy. With tens of thousands of international visitors every day, Greece cannot test each visitor to ensure that they are not a carrier of COVID-19. We developed a machine learning platform that combines anonymized passenger data, lab testing results, and public prevalence rates to preferentially target risky tourist profiles for testing. Our platform uses past data and optimization to improve its own risk predictions while also identifying sick visitors before they enter the country, all subject to Greece’s current COVID-19 testing capacity. Our solution is currently deployed across all ports of entry to Greece. Professor Eric Bradlow will moderate Q&A.

Speaker:

Professor Hamsa Bastani is an assistant professor in Operations Information and Decisions at the Wharton School, University of Pennsylvania. Her research focuses on developing novel machine learning algorithms for data-driven decision-making, with applications to healthcare operations, pricing, recommendation systems, and social good. Her work has been recognized by the George Nicholson, MSOM, Service Science, and Health Applications Society best student paper awards, the Pierskalla best paper award in healthcare operations, and the early-career People’s Choice award in sustainable operations. She previously completed her PhD at Stanford University, and was a Herman Goldstine postdoctoral fellow at IBM Research.

Moderator:

Professor Eric Thomas Bradlow: is the K.P. Chao Professor, Professor of Marketing, Statistics and Education, Chairperson of Wharton’s Marketing Department, and Vice-Dean of Analytics at Wharton. An applied statistician, Professor Bradlow uses high-powered statistical models to solve problems on everything from Internet search engines to product assortment issues. Specifically, his research interests include Bayesian modeling, statistical computing, and developing new methodology for unique data structures with application to business problems.

Eric is a fellow of the American Statistical Association, American Educational Research Association, is past chair of the American Statistical Association Section on Statistics in Marketing, past Editor-in-Chief of Marketing Science, is a past statistical fellow of Bell Labs, and worked at DuPont Corporation's Corporate Marketing and Business Research Division and the Educational Testing Service.

Register Online

Date: Friday, October 9, 2020

Time: 9am -10am PT
Location: Zoom - details to be sent after registration

Cost: Free

Welcome to the Wharton Club of Northern California - Analytics at Wharton Series: Reopening Greece with Data-Driven COVID-19 Testing