I am a second-year PhD candidate 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.

During my stay at McGill this summer, I’m co-organizing the McGill OPT+ML Summer Seminar series, alongside Courtney Paquette and Elliot Paquette. This past spring semester, I organized the Graduate Student Seminar Series at CDS. If you’re interested in giving a presentation in the future, please reach out!

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