I'm an undergraduate student at the University of Michigan, double-majoring in Robotics and Computer Engineering. My research interest lies in developing embedded, learning-enabled perception systems that fuse multi-modal sensory data to achieve robust and adaptive control in real-world environments. I am particularly interested in how robots can interpret discrepancies between expected and actual sensory feedback to dynamically refine their control strategies. By combining my background in embedded systems with my current focus on machine learning, I aim to create real-time, resource-efficient perception frameworks that bring learned intelligence closer to the hardware.