I am an Assistant Professor in the Department of Applied Mathematics & Statistics at Johns Hopkins University. I am also affiliated with the Data Science and AI Institute. My research interests lie broadly in the mathematics of data science, and my work lies at the intersection of point processes and stochastic geometry, geometry of convex bodies, high-dimensional probability, and statistical learning theory.
You can read more about my research here and see a list of my publications here.
Before joining the faculty at JHU, I was a Postdoctoral Scholar in Computing and Mathematical Sciences at the California Institute of Technology hosted by Venkat Chandrasekaran and Joel Tropp. I received my PhD in Mathematics in August 2019 from the University of Texas at Austin where I was fortunate to be advised by François Baccelli.
Contact: eoreilly@jhu.edu
Office: N429, Wyman Park Building
Future PhDs: If you are interested in joining my group as a PhD student, please apply to the AMS PhD program and mention my name in your application.