Hello! I am a second year Master’s student at MIT, where I am part of the Algorithmic Alignment Lab, advised by Dylan Hadfield-Menell. My high level research goal is to develop reinforcement learning (RL) systems that are aligned with human values and goals. I am particularly interested in studying cooperation in multi-agent systems, which encompasses both pure agent teams as well as human-AI teams. Finally, I am also excited by the prospect of applying RL to solve real-world problems such as warehouse automation and traffic signal control. Previously, I have worked with Lerrel Pinto at NYU on developing automatic curriculum learning methods for RL agents. Before that, I was a part of the MARMot Lab at NUS, where I worked with Guillaume Sartoretti on applying multi-agent reinforcement learning to traffic signal control and multi-agent pathfinding.