As a faculty member working at the intersection of bioelectronics, multi-modal sensing, and robotics, my research aligns strongly with VALIANT’s mission of advancing AI through interdisciplinary collaboration and innovation. My work focuses on developing wearable and implantable sensor systems that integrate multi-modal data to monitor human health and enable efficient human-robot interaction. By combining edge AI and advanced machine learning algorithms, I aim to improve real-time decision-making and personalized feedback systems for applications such as disease detection and robotic control. This effort inherently bridges AI, health sciences, and robotics, fostering innovation at their convergence. I see VALIANT as an ideal platform to collaborate with experts across disciplines to further enhance AI-driven solutions for real-world challenges in health monitoring, human-robot collaboration, and beyond.