A recent study by Noa Dagan, a PhD student in the Department of Computer Science, and Noam Barda, a Ph.D student in the Department of Medical Sciences, was praised by Turing Award winner Prof. Shafi Goldwasser and Dr. Guy N. Rothblum, a faculty member in the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science, during an interview they gave for Simons Institute Polylogues.
The interview, published on the Simons Institute's YouTube channel on Apr. 3rd 2020, discusses a new research collaboration applying techniques from the field of algorithmic fairness to determine which patients are most likely to develop severe cases of COVID-19.
Noa Dagan and Noam Barda, both under supervision of Prof. Eitan Bachmat from the Department of Computer Science, collaborate with Dr. Rothblum on this matter in a project applied in Clalit Health Services in Israel. In this project, they adapted a refined model for predicting flu complications to a model for predicting COVID-19 complications – a timely example on how research on algorithmic fairness can offer answers to real-world challenges.
For the full interview – Click Here