SJ Duque

Hi, I’m SJ. I’ve always been fascinated by the human brain and how much we still have to discover about it. My work focuses on using non-invasive biological sensors to interpret brain and muscle activity, and on building artificial intelligence that can make those signals useful in everyday life.

One of my main projects, EXG-Hands, uses these sensors to control a robotic hand. I’m developing both the hardware and the software: amplifying minute bio-electrical signals and feeding the information into a machine learning system that translates them into movement. To support this, I’ve also been creating open, customizable EEG and EMG sensors that make it easier to experiment with brain and muscle signals outside of expensive labs. The goal is to create a low-cost alternative to prosthetics while showing how accessible tools can open the door for research and innovation in brain-computer interfaces.

Outside of this work, I like experimenting with creative projects such as genetic algorithms, raycasting, and sound synthesis. For me, they’re a way to learn, explore new ideas, and keep pushing the boundary of what technology can do.

I studied computer science at the University of Texas at Austin, which gave me the technical foundation to explore areas like machine learning, signal processing, and embedded systems.