Judy Fox

Judy Fox is an Associate Professor of Data Science at the University of Virginia's School of Data Science, with a joint appointment in the Department of Computer Science. She joined the university in 2021 and is actively engaged in research and curriculum development in emerging data science domains.

Educational Background:

• Ph.D. in Computer Science, Syracuse University
• M.S. in Computer Science, Syracuse University
• M.S. in Computer Science and Engineering, Beihang University, Beijing
• B.S. in Computer Science and Engineering, Beihang University, Beijing

Her research focuses on experimental systems that integrate Data Science, Machine Learning, and the Internet of Things, enabling efficient use of computational resources in Cloud and High-Performance Computing (HPC) environments. She emphasizes interdisciplinary collaboration and addressing national challenges in big data and workforce development.

Judy Fox has secured significant educational funding from leading organizations including Google, the National Institutes of Health (NIH), and the National Science Foundation (NSF) to develop innovative curricula in data science. Her work bridges technical advancement with educational impact, particularly in emerging technological fields.

Scientific Awards and Funding:

• Google Educational Funding Award
• NIH Educational Funding Award
• NSF Educational Funding Award

She values interdisciplinary research and has contributed to advancing data science education and infrastructure. Prior to joining the University of Virginia, she served as Director of Graduate Studies in Data Science and Associate Professor of Computer Science at Indiana University, bringing extensive academic leadership experience.