# Talks and Presentations

INFORMS Annual Meeting, 2021

The Simons Institute for the Theory of Computing, Joint IFML/CCSI Symposium, 2021

University of California, Riverside, Department of Statistics, 2021

Harvard University, Probabilitas Seminar, 2021

International Conference on Learning Theory (ICML), 2021

International Conference on Artificial Intelligence and Statistics (AISTATS), 2021

ETH Zürich, Young Data Science Researcher Seminar, 2021

Cornell University, Department of Statistics and Data Science, 2021

Texas A&M University, Department of Statistics, 2021

Johns Hopkins University, Mathematical Institute for Data Science, 2021

University of California, Berkeley, Department of IEOR, 2021

University of Washington, Department of Statistics, 2021

George Mason University, Department of Statistics, 2021

Purdue University, School of Industrial Engineering, 2021

University of Toronto, Department of Statistical Sciences, 2021

University of California, Irvine, Department of Statistics, 2021

University of Notre Dame, Department of Applied and Computational Math and Statistics, 2021

INFORMS Annual Meeting, 2020

International Conference on Learning Theory (ICML), joint presentation with Pierre C. Bellec, 2020

Conference on Learning Theory (COLT), 2020

NeurIPS, Privacy in Machine Learning workshop (spotlight), 2019

Probability Seminar Series, Department of Mathematics, Duke University, 2019

Decision Science Seminar Series, The Fuqua School of Business, Duke University, 2019

SMIL\@Y Research Meeting, Yale University, 2018

Joint Statistical Meetings (JSM), 2016

Yale Probability Network Group, 2014-2015