Office: ESB 4108 (inside PIMS), UBC, Vancouver
Email: awarren at math dot ubc dot ca
This semester I am teaching MATH 604E: "Mathematical Foundations of Machine Learning". This course is being offered as a "Network Course" of the Pacific Institute for the Mathematical Sciences. A course description can be found on the corresponding PIMS website.
For enrolled students, please refer to our Canvas page for more detailed course information.
I am a postdoc in the Department of Mathematics at the University of British Columbia. Previously, during 2022-2023 I was a CARMIN Visiting Fellow at the Institut des Hautes Études Scientifiques as well as the Institut Henri Poincaré, where I was a participant in the thematic quarter on Geometry and Statistics in Data Sciences.
In 2022, I completed my PhD at Carnegie Mellon University, where I was fortunate to be advised by Professor Dejan Slepčev. While at CMU, I was also affiliated with the StatML Group. During the fall of 2021, I was a visiting graduate student at the Simons Institute for the Theory of Computing at UC Berkeley, where I was a participant in the thematic program on Geometric Methods in Optimization and Sampling.
My research is primarily in applied analysis and the theory of statistics and machine learning. I am especially fond of optimal transport.
My publications can be found on Google Scholar. My CV is here.