I am a PhD student at the Center for Data Science at New York University, where I am fortunate to be advised by Jonathan Niles-Weed. My interests lie at the intersection of optimization theory, computational and statistical optimal transport, high dimensional statistics, and problems in deep learning.

Before joining CDS, I completed my Bachelor’s and Master’s degrees in (applied) mathematics at McGill University, the latter under the supervision of Tim Hoheisel and Adam Oberman.

Email: aram-alexandre[dot]pooladian[at]nyu[dot]edu