[2] Gel earned her doctorate in mathematics at Saint Petersburg State University in Russia, under the supervision of Vladimir N.
[3] After postdoctoral research at the University of Washington, she joined the Waterloo faculty in 2004, and moved to Dallas in 2014.
Yulia Gel has a diverse range of research interests that span statistical foundations of data science, machine learning, topological and geometric methods in statistics, and topological data analysis.
She is particularly interested in the application of statistical and data science techniques to domains such as healthcare predictive analytics and climate informatics.
In 2014 Yulia was elected as a Fellow of the American Statistical Association" for theoretical contributions to nonparametric aspects of spatiotemporal processes; for promoting the application of modern statistical methodologies in law, public policy, and the environmental sciences; and for championing the advancement of women and other under-represented groups in the mathematical and physical sciences.