Ramakrishna Vedantam

New York City, United States

Ramakrishna Vedantam wants to build machine learning systems that mimic human capabilities for reasoning, compositional generalization, and concept learning. In terms of methodologies he is interested in robust representation learning and out of distribution generalization viewpoints of studying these problems. Previously, he obtained his Ph.D. at Georgia Tech under the supervision of Prof. Devi Parikh, studying problems at the intersection of probabilistic modeling, computer vision and natural language processing. During his Ph.D. he also spent time working at Google Research, Microsoft Research, INRIA and Facebook working on related problems.