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Kyuhwa Lee

I am Machine Learning Scientist at Wyss Center for Bio and Neuroengineering and the Principal Investigator of an upper-limb BCI project Synapsuit. I'm intereated in discovering informative patterns from brain signals using a data-driven approach. I design and apply real-time machine learning algorithms for decoding brain signal patterns of motor-impaired patients and help them regain motor control or communicate. My educational background is in Electrical Engineering and Computer Science, especially in computer vision, representation learning and human-robot interaction systems.

I have previously worked with Prof. Grégoire Courtine, Prof. Jocelyne Bloch and Prof. José Millán at Swiss Federal Institute of Technology Lausanne (EPFL) and Lausanne University Hospital (CHUV). I was advised by Prof. Yiannis Demiris and Prof. Tae-Kyun Kim while doing my PhD at Imperial College London.

Whenever I have free time, I work on music production. They can be found at SoundCloud. I occasionally take photographs, which can be found at my web gallery.

Recent news
  • 10.2022. Swiss-Korean bilateral project grant proposal was accepted, partnered with Neurosoft and Korea Electronics Technology Institute. Wyss Center will work on upper-limb motor decoding using subdural ECoG electrodes. The project will commence in 2023.
  • 10.2022. Received BCI Award 2022 Nomination as one of 12 nominees.
  • 09.2022. Our paper titled "Principles of gait encoding in the subthalamic nucleus of people with Parkinson’s disease" was published in Science Translational Medicine, where my contribution was the neural signal decoding of leg forces and gait sates, and feature analysis.