Visiting Associate Professor of Computer Science
Education: PhD University of Ottawa
Research Areas: Data Privacy; Federated Learning; Synthetic Data, Biomedical Data Privacy
Fida Dankar is a visiting Associate Professor of Computer Science at NYUAD. She holds a PhD in Computer Science from the University of Ottawa and a B.S. and M.S. in Mathematics from the American University of Beirut. Her general research interests include Machine learning and data privacy. Currently, her research focuses on the development of multidisciplinary approaches for the private and secure mining of biomedical data (distributed and central) that draws upon methods from cryptography, statistics, machine learning, federated learning, and synthetic data generation. She is currently working on ways to evaluate the utility of synthetic data as well as on the challenges to the application of federated learning in healthcare.