I’m a post-bac scholar at the Kempner Institute advised by Stephanie Gil. My research interests are in machine learning and multiagent robotics– specifically, how can models better perceive and act on data given everyday, real-world constraints? To address this question, I’m interested in understanding how models learn, and approaches that perform well without an abundance of labeled data available.