I am a Postdoctoral Researcher working on non-invasive human–machine interfaces, wearable sensing, and machine learning for neuromotor decoding. My research sits at the intersection of biomedical engineering, signal processing, and interactive technology, with a focus on developing practical interfaces for prosthetics, wearable robotics, and VR/AR systems.

I completed my PhD in Biomedical Engineering at Imperial College London, where I developed wearable ultrasound-based interfaces, real-time signal processing pipelines, and machine learning methods for decoding human movement and intention. My work combines experimental design, data collection, hardware and software integration, and large-scale validation, with the aim of building robust systems that can move beyond the lab into real-world applications.

I am particularly interested in real-time neural and biomechanical signal decoding, multimodal interface design, and translational R&D. I enjoy working in multidisciplinary teams and collaborating across academia and industry to create human-centred technologies for rehabilitation, augmentation, and interactive systems.