Adam Kashlak, PhD
/kæʃlæk/
Personal Website: https://sites.ualberta.ca/~kashlak/
Contact
Associate Professor, Faculty of Science - Mathematics & Statistical Sciences
- kashlak@ualberta.ca
Overview
Area of Study / Keywords
Functional Data Stochastic Processes Mathematical Statistics Randomization Testing
About
PhD, Mathematical Statistics, University of Cambridge (2017)
MSc, Applied and Computational Mathematics, Johns Hopkins University (2011)
BSc, Honours Pure Mathematics, McGill University (2008)
Research
Nonasymptotic Statistics, High Dimensional & Functional Data, Concentration Inequalities, Stochastic processes, Nonparametric Statistics, Mathematical Statistics
Teaching
Courses I have taught: STAT 378, 413, 479, 568, 571
Courses
STAT 413 - Computing for Data Science
Survey of contemporary languages/environments suitable for algorithms of Statistics and Data Science. Introduction to Monte Carlo methods, random number generation and numerical integration in statistical context and optimization for both smooth and constrained alternatives, tailored to specific applications in statistics and machine learning. Prerequisites: One of STAT 265 or STAT 281, or consent of the Department.
Featured Publications
Adam B Kashlak, Prachi Loliencar, Giseon Heo
Journal of Machine Learning Research. 2023 January;
View additional publications
Research Students
Currently accepting undergraduate students for research project supervision.