Engineering Human Mobility Through Intelligent Wearable Systems

I am a PhD Candidate in Mechanical Engineering at the University of Colorado Boulder, where my research explores the intersection of biomechanics, stretchable electronics, wearable sensing, and intelligent human–machine systems. My goal is to develop engineering solutions that enable technologies to seamlessly interact with the human body, improving mobility, rehabilitation, and quality of life.

My research is driven by a fundamental challenge in wearable and assistive technologies: how can we bridge the gap between rigid electronic systems and the soft, dynamic nature of the human body while enabling intelligent, real-time interpretation of physiological data? This question has shaped my work across soft wearable electronics, computational mechanics, biosensors, and machine learning, with applications ranging from human activity recognition to next-generation prosthetic technologies.

Throughout my doctoral research, I have designed and developed stretchable piezoresistive electronic skin, wearable sensing platforms, and computational frameworks that integrate finite element analysis, embedded systems, and deep learning for real-time biomechanical monitoring. My work spans the complete research lifecycle—from concept development and computational modeling to prototype fabrication, experimental validation, and intelligent data analysis—allowing me to translate scientific ideas into deployable engineering systems.

Before beginning my PhD, I built a strong foundation in mechanical design, additive manufacturing, smart materials, experimental mechanics, and product development through research positions in Singapore and engineering roles in industry. These experiences strengthened my ability to approach problems from both scientific and practical perspectives, combining rigorous research with engineering implementation to develop reliable, manufacturable solutions.