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I studied experimental cosmology (Ph.D. from Princeton in 2010) before switching to statistics (Ph.D. from Cornell in 2015). After postdoctoral studies at McGill (2015-16) and KU Leuven (2016-19), I joined York in September 2019.
My main research interest is in the study of copula, a multivariate dependence measure that is decoupled from the marginal scales, sometimes in conjunction with high-dimensional statistics. Here the analysis is complicated by the facts that the estimators are often not simple i.i.d. sums and the score functions are often unbounded. I borrow tools from empirical process theory and U-statistics/U-processes to tackle these challenges.