Working on Brain Computer Interfaces at MIT

During my PhD I used Reinforcement Learning and quantitative behavioral analysis to understand animals decision making. I used Control Theory and Neural Decoding to study motor control and its neural bases. I developed an open-source 3D interactive neuroanatomy software used by dozens of labs across the world.

At MIT, I am developing a novel Deep Learning architecture for Neural Decoding that is both more accurate and efficient than other state-of-the-art methods.

I am one of the founders of the BCI Initiative, a global BCI learning hub promoting education and research in BCI