Hi, this is Yunnuo (Noah) Zhang.

I am a Ph.D. student in Machine Learning at Georgia Tech and Emory, and a trainee in the Computational Neural-Engineering Training Program (CNTP). I work with Dr. Chethan Pandarinath at the Systems Neural Engineering Lab (SNEL), and I am a research engineer with the BrainGate clinical trial team at Emory. My research focuses on building high-performance, multifunctional intracortical brain-computer interfaces, including speech neuroprostheses that generalize across users.

I received my B.S. (2024) and M.S. (2025) in Computer Science from Georgia Tech. As an undergraduate, I was advised by Dr. Thad Starner and Dr. Melody Jackson, and wrote my thesis on a high-frequency SSVEP-BCI system with wearable dry EEG electrodes. I also worked on soft, skin-conformal bioelectronics and machine learning for neural and physiological signals with Dr. Jinxing Li at Michigan State University, whom I first worked with in the Bao Group at Stanford University. I have also collaborated with Dr. Tingyu Cheng on applied AI, sustainable materials, and human-computer interaction.

I am interested in Brain-Computer Interfaces, Computational Neuroscience, Neural Engineering, and Machine Learning for neural data. Above all, I want to turn neuroscience and clinical research into technology that restores communication and independence for people living with paralysis.

See my publications or Google Scholar for my recent work.