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Zak Varty is a statistician interested in developing and teaching statistical methods for use in environmental and industrial settings. He teaches courses and supervises research projects in statistics, data science, and data ethics. His main strengths include extreme value theory, point processes modeling, and Bayesian statistics. His research interests lie at the intersection of applied and methodological statistics. Varty particularly enjoys developing efficient inference methods for non-standard data generating mechanisms and working on data science projects in environmental and industrial applications.
Imperial College London • London, England
Teaching and supervising research projects in statistics, data science, and data ethics.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.