About
Hi!
I am a Ph.D. candidate at the Multi-modal Learning, Interaction and Perception Laboratory (MuLIP) at Tufts University. I am advised by Professor Jivko Sinapov. My research interests span neuro-symbolic AI, reinforcement learning, and robotics.
Prior to joining Tufts, I completed my Master's in C.S. at Washington State University under the supervision of Professor Matthew E. Taylor, where I worked in computer vision and machine learning for agricultural robotics. I have also worked as a researcher at the CASAS lab under the supervision of Professor Diane J. Cook where I worked in healthcare robotics.
I aim to develop autonomous agents that can best respond to sudden and unknown situations in real-world environments. I dream of building robots that can help me with my daily chores and have the capability to learn from my day-to-day activities and get better over time.
News
[January 2025]: I will attend AAAI-2025 in Philadelphia and present our work on a Neurosymbolic Cognitive Architecture for handling Open-World Novelty.
[December 2024]: I am collaborating with Professor Matthias Scheutz on an ONR (Naval Research) grant to develop force-based learning and RL methods that enable robots to adapt quickly to novel situations. For this work, we will use SPOT robots as testing platforms.
[October 2024]: We began work on a collaborative project with NASA, Tufts, UMass Amherst, and MIT focused on detecting and characterizing anomalies using drone flight systems.
[Summer 2024]: I am teaching Introduction to Data Structures to undergraduates and graduate students in the CS department at Tufts University.
[May 2024]: Our work on Novelgym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds was presented at AAMAS-2024 in Auckland, NZ.