Webinar Series: Data Science in Action in Response to the Outbreak of COVID19

June 26, 2020, 11 am EDT

The Opportunities and Challenges of Healthcare Systems in the COVID-19 Era


Dr. Kimia Ghobadi,  John C. Malone Assistant Professor, Johns Hopkins University


The COVID-19 pandemic has been a major global challenge since its emergence. With the fast growth in its range of spread, the available data around the pandemic and its impacts are also growing at a fast pace. As the pandemic threatens to overwhelm healthcare systems and as hospitals and businesses start to reopen, how can we leverage data (with all its richness and restrictions) to strategize best responses in healthcare systems. In this talk, we will highlight an ensemble of the use of data to better understand our social and healthcare responses to the COVID-19 pandemic. For instance, how hospital operations can benefit from data and mathematical optimization. What are the healthcare systems' response to personal protective equipment (PPE) shortage, and how does it affect hospitals' precaution procedures. How hospitals can reopen safely while under continued pressure (and with the forecasts of upcoming surges). How system-level pooling strategies can be employed to efficiently allocate resources (e.g., beds, nurses, PPE, ventilators) and minimize adverse effects.


About the Speaker

Dr. Kimia Ghobadi is a John C. Malone Assistant Professor of Civil and Systems Engineering and a member of the Malone Center for Engineering in Healthcare and the Center for Systems Science and Engineering (CSSE), Johns Hopkins University (JHU). Prior to joining JHU, she was a postdoctoral fellow at MIT Sloan School of Management and obtained her PhD from the University of Toronto in Industrial Engineering. Her research interests are in developing inverse and forward optimization models, real-time algorithms, and analytics technics with application in healthcare systems including healthcare operations and medical decision-making.

Event Type


ASA Section on Statistical Learning and Data Science
Journal of Data Science


ASA Section on Statistical Computing
ASA Section on Statistics in Epidemiology
ASA Section on Statistical Graphics
National Institute of Statistical Sciences
New England Statistical Society
Statistical Data Science Lab at UConn


Online Webinar
United States
Dr. Kimia Ghobadi, Johns Hopkins University