Yulia R. Gel

Research Interests

• Uncertainty quantification in DL and AI; mathematical foundations for digital twins
• Statistical foundation of data science; topological and geometric methods in statistics and ML
• Time series analysis; spatio-temporal processes; time series of graphs; inference for random graphs
• AI for Earth Science processes; climate informatics; healthcare predictive analytics; risk analytics; blockchain data analysis

Publications

List of my publications is available at Google Scholar.

Professional Training

• Saint Petersburg State University, Russia; Mathematics, MSc, 1997 (summa cum laude)
• Saint Petersburg State University, Russia; Mathematics, PhD, 2000
• University of Washington, USA; Statistics, Postdoc, 2001–2003

Past Appointments

• Program Director (2021–2024) – Division of Mathematical Sciences and Directorate for Technology, Innovation and Partnerships (on detail), National Science Foundation

• Professor (2015–2024) – Department of Mathematical Sciences, University of Texas at Dallas

• Assistant/Associate Professor (with tenure) (2004–2014) – Department of Statistics and Actuarial Sciences, University of Waterloo, Canada

Selected Visiting Positions

• Visiting Researcher (07/2016–06/2017) – NASA Jet Propulsion Lab, Caltech, USA
• Research Fellow (07/2016–12/2016) – The Isaac Newton Institute for Mathematical Sciences, Cambridge, UK
• Visiting Associate Professor (2011–2013) – Johns Hopkins University, USA
• Visiting Assistant Professor (01/2009–06/2009) – University of California at Berkeley, USA
• Visiting Assistant Professor (08/2003–08/2004) – George Washington University, USA

Selected Awards and Honors

• 2023 NSF Director’s Award for Superior Accomplishment
• 2018 The ASA Statistics and the Environment Distinguished Achievement Medal
• 2014 Fellow of the American Statistical Association (ASA)
• 2014 Abdel El-Shaarawi Young Researcher's Award from the International Environmetrics Society (TIES) of the International Statistics Institute
• 2004 JASA Applications and Case Studies Invited Paper of the Year
• 1999 The PhD Fellowship for the top PhD students from the Government of the Russian Federation
• 1997–1999 The Graduate Research Scholarship from the Government of Saint Petersburg, Russia
• 1997 Graduate Research Excellence Award, Saint Petersburg State University, Russia

Recent External Research Grants

• 2022–2025 NASA 21-AIST21_2-0020 Open Climate Workbench to support efficient and innovative analysis of NASA's high-resolution observations and modeling datasets (role: co-PI).
• 2022–2025 NASA 21-AIST21_2-0059 Innovative Geometric Deep Learning Models for Onboard Detection of Anomalous Events (role: PI).
• 2021–2025 ONR N00014-21-1-2530 Learning on Graphs for Resilience Decision-Support in Real-World Networks (role: co-PI).
• 2020–2021 NASA 20-RRNES20-0021 Rapid Response and Novel Research in Earth Science: Forecasting COVID-19 progression and the next hotspot: Do weather conditions and air quality impact COVID-19 transmission rates and clinical severity? (role: PI).

Editorial Boards

• June 2023 – present; Associate Editor for Statistica Sinica
• January 2021 – present; Associate Editor for the Electronic Journal of Statistics
• August 2018 – December 2024; Associate Editor for Technometrics
• July 2017 – December 2017; Guest Co-Editor for the Special Issue "Advances in Statistical Methods and Applications for Climate Change and Environment" in Statistics & Probability Letters
• January 2014 – December 2021; Associate Editor for Environmetrics
• January 2013 – December 2021; Associate Editor for the Canadian Journal of Statistics
• August 2008 – December 2014; Associate Editor for Applied Stochastic Models in Business and Industry (ASMBI)

Selected Recent Professional Activities

• Co-organizer of 2023 Workshop on Bridge-AI: from Climate Change to Health Equity International Joint Conference on Artificial Intelligence (IJCAI)
• Co-organizer of 2023 ACM SIGKDD Workshop on Fragile Earth: AI for Climate Sustainability - from Wildfire Disaster Management to Public Health and Beyond
• Co-Organizer of 2021 NSF Student Conference on COVID modeling
• Organizer of 2021 The 1st NSF Workshop on Blockchain Data Analytics

Selected Current External Professional Committees/Boards

• Senior Area Chair for NeurIPS2023 , ICML2024 , NeurIPS2024 , ICML2025 .
• 2019–2023 – President-Elect and President of the International Environmetrics Society (TIES) of International Statistical Institute (ISI)
• 2017–2019 – Member of the American Statistical Association on Energy Statistics, joint with DOE EIA
• 2013–2019 – Treasurer of the International Environmetrics Society (TIES) of International Statistical Institute (ISI)

Statistical Software Distribution

• R package snowboot: Bootstrap Methods for Network Inference. Ramirez Ramirez, L. L., Nezafati, K., Lyubchich, V., Chen Y., Gel, Y.R.
• R package funtimes: Functions for Time Series Analysis. Lyubchich, V., Gel, Y.R.
• R package lawstat: Tools for Biostatistics, Public Policy, and Law. Gastwirth, G.L., Gel, Y.R., Hui, W., Lyubchich, V., Miao, W., Noguchi, N. (in alphabetic order)
• R package nparLD: Nonparametric Analysis of Longitudinal Data in Factorial Experiments. Noguchi, N., Latif, M., Thangavelu, K., Konietschke, F., Gel, Y.R., and E. Brunner.
• R package ProbForecastGOP: Probabilistic Weather Field Forecast using the Geostatistical Output Perturbation (GOP) method. Berrocal, V.J., Gel, Y.R., Raftery, A.E., and T. Gneiting.