I am a fifth-year 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, and problems in deep learning. My research is supported in part by NSF, NSERC, Google, and most recently, Meta AI Research. I’m super excited to be working with Brandon Amos and Ricky Chen for the next academic year!

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