معرفی
Rafal Kulik is a Full Professor in the Department of Mathematics and Statistics at the University of Ottawa (Faculty of Science). He holds a MSc from Ulm University (Germany) and a PhD from Wrocław University (Poland).
Research Interests: Dr. Kulik specializes in Extreme Value Theory, Time Series Analysis (particularly long-range dependence and heavy-tailed processes), Data Privacy (including Differential Privacy), and Statistical Inference. His work bridges theory with applications in econometrics, financial mathematics, risk management, and privacy-preserving data analysis.
Recent Contributions: Recent research focuses on clustering of extremes in stochastic processes, statistical foundations of differential privacy, and high-dimensional data analysis. Key methods include bootstrap techniques for tail processes, asymptotic expansions for block estimators, and analysis of regularly varying time series.
Advising & Grants: Supervised over a dozen PhD/MSc students and postdocs. Current projects include NSERC grants on Extreme Value Theory and MITACS collaborations on privacy frameworks. Active in benchmarking large language models' privacy risks.
Administration: Associate Editor for Extremes, Electronic Journal of Statistics, and others. Member of the University of Ottawa Board of Governors.
