About me.

I am a Ph.D. candidate at the Northwestern University Center for Robotics and Biosystems. I am a researcher in the Interactive and Emergent Autonomy Lab, advised by Dr. Todd Murphey.

My research asks how robots can collect their own data to learn better world models. I integrate predictive uncertainty as an information-theoretic signal in the closed-loop system of perception, learning, and action for online, active learning on hardware. Before this, I worked on active perception with NeRFs and Gaussian Splatting and on fast ergodic exploration. Through internships at Honda Research Institute and Dolby, I also worked on multi-agent coordination, audio-visual perception, and fine-tuning multimodal foundation models.