I am a postdoc researcher at New York University working with Marcelo Mattar on safe episodic memory and planning in AI agents.
I received a PhD in Computer Science from Columbia, advised by Daniel Bauer. My dissertation was on enabling robots to remember and report on their past actions in natural language through summaries and question answering. I believe that this ability is an essential one both for training robots and other agents to better understand their environments and for ensuring safe and understandable agent behavior.
I have also worked on artificial metacognition (i.e. thinking about thinking, especially knowing what we know), learning word representations in the order a child learns words, improving robotic grasping techniques by learning to 'imagine' parts of objects that are hidden, and detecting crop disease from field imagery.
I created and taught a course for Columbia undergraduates on AI Safety, Ethics, and Policy.

www.chaddechant.com