Yulia R. Gel is Professor in the Department of Mathematical Science at the University of Texas at Dallas and Visiting Scientist at Lawrence Berkeley National Lab. Her research interests include topological and geometric methods for complex networks, blockchain data analytics, statistical foundation of data science, time series analysis, and predictive modeling. She holds a Ph.D in Mathematics, followed by a postdoctoral position in Statistics at the University of Washington. Prior to joining UT Dallas, she was a tenured faculty member at the University of Waterloo, Canada. She also held visiting positions at Johns Hopkins University, University of California, Berkeley, and the Isaac Newton Institute for Mathematical Sciences, Cambridge University, UK.
Her research has been continuously supported by grants from ONR, NASA, NSF, DOE, as well industrial subcontracts. She is a co-author of more than 120 peer-reviewed publications, and her research has been recognized by multiple best paper awards from the American Statistical Association. She served as a Vice President of the International Society on Business and Industrial Statistics (ISBIS), and is a Fellow of the American Statistical Association. She also holds the Distinguished Achievement Medal from the American Statistical Association Section on Statistics and the Environment.