I am a roboticist interested in developing intelligent robotic agents which can interact with humans on a wide range of tasks in a variety of domains. Although I'm most interested in the ambitious goal of developing household robots to assist people with a disability and give them more autonomy, many core requirements for intelligent agents are similar across different domains. They should think and act rationally, learn novel tasks/behaviors online and continuously improve overtime, and they must interact with humans which may require following social norms and ensure safe operations at all times. I'm currently interested in advancing robot manipulation capabilities including learning new behaviors online.

I finished my Ph.D. in Computer Science and Human-Robot Interaction from Tufts University in August of 2022. My thesis focused on enabling robots to be more versatile so they can autonomously act across multiple domains and improve over time. I developed three frameworks that enable robots to learn new tasks online through natural language instructions, assess their expected task performance, and modify tasks online through natural language instructions. Working with Matthias Scheutz in the Human-Robot Interaction Lab I integrated these frameworks in to the DIARC cognitive-robotic architecture. I'm currently working to extend these frameworks to improve robot capabilities.