About

Hi, and welcome!

I’m a Ph.D. candidate in computer science at the Multi-modal Learning, Interaction, and Perception (MuLIP) Lab at Tufts University, where I’m jointly advised by Professor Jivko Sinapov and Professor Matthias Scheutz. My research lies at the intersection of neuro-symbolic AI, reinforcement learning, and robotics—with a core focus on building intelligent agents that adapt and thrive effectively in dynamic, real-world environments.

Before Tufts, I completed my Master’s in Computer Science at Washington State University, where I worked on computer vision and machine learning for agricultural robotics under Professor Matthew E. Taylor. I also conducted research at the CASAS lab with Professor Diane J. Cook, developing AI systems in healthcare robotics.

Broadly, my goal is to create autonomous robots capable of handling the unexpected—machines that not only assist with everyday tasks but continuously learn and improve by observing our daily lives. I dream of a future where robots are not just tools, but intuitive lifelong collaborators in our homes and workplaces.