I am a third-year Ph.D. student in the Robotics Institute at Carnegie Mellon University (CMU), advised by Dr. Wennie Tabib in the Resilient Intelligent Systems Lab (RIS Lab).

My research lies at the intersection of AI and robotic control, focusing on building autonomous systems that can operate in complex, dynamic settings. Because the world is constantly changing, robots need control strategies that can adapt in real time. At the same time, the world is governed by known physical laws, and we can leverage this knowledge to help robots make better decisions. My work combines reinforcement learning with differentiable physics to help robots leverage both experience and physical prior knowledge for adaptive, efficient, and robust control. While my current research focuses on aerial systems, my long-term goal is to extend these adaptive control methods across different robotic platforms, enabling robots to operate safely in the real world and work alongside humans to accomplish challenging tasks.