Office: HFG607, Uithof, Utrecht University
Email: a.j.warren at uu dot nl
I am an Assistant Professor in the Department of Mathematics at Utrecht University.
Previously, I was a postdoc in the Department of Mathematics at the University of British Columbia, where I enjoyed the mentorship of Young-Heon Kim and Geoffrey Schiebinger. Earlier still, 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.
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.
This semester I taught MATH 604E: "Mathematical Foundations of Machine Learning". This course was 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 students who were enrolled, please refer to our Canvas page for more detailed course information.