I grew up and went to graduate school in the sunny city of Orenburg, Russia. In 2011, I obtained a PhD degree in Statistics from the Orenburg State University. In the same year, I was awarded the prestigious Government of Canada postdoctoral fellowship to continue my research in time series methodology at the Department of Statistics and Actuarial Science of the University of Waterloo, Canada. During my three-year postdoc in Waterloo, I worked on a number of fascinating projects, ranging from trend detection in environmental time series to assessment of climate-related risk landscape for home insurance to providing business analytics solutions for retention of bank customers. I also served as a research associate in the Department of Geography and Environmental Management in the same university, and a visiting researcher in the Department of Mathematical Sciences at the University of Texas at Dallas.
In 2015, I joined the University of Maryland Center for Environmental Science (UMCES) as a research assistant professor and a founding member of the Environmental Statistical Collaborative. I devote the major part of my time to research questions in time series analysis, forecasting, nonparametric inference for spatio-temporal processes and random networks. I also teach graduate courses in statistics, including two levels of environmental statistics and a course on R programming.
I am an active member of several professional statistical associations, including the American Statistical Association (ASA) and The International Environmetrics Society (TIES), as well as the Climate Informatics community.
Areas of Expertise
- time series analysis, forecasting, applied statistics, non-parametric inference, bootstrap, random networks
- Orenburg State University, Russia, PhD, 2011, Statistics
- Orenburg State University of Agriculture, Russia, MSc, 2008, Statistics and Economics