Aram-Alexandre Pooladian is a Foundations of Data Science Postdoctoral Associate at Yale University. His research surrounds mathematical statistics and algorithms for probabilistic inference, the latter through the lens of optimal transport. He holds a PhD from New York University Center for Data Science, and BA and MSc in Applied Mathematics from McGill University.