I am Tri-lingual! Japanese | Chinese

Hi, this is Yunnuo (Noah) Zhang.

I am currently a first year Master student at Georgia Tech majoring in Computer Science, where I am advised by Dr. Chethan Pandarinath at SNEL and BrainGate Emory. I was honored to advised by Dr. Thad Starner and Dr. Melody Jackson during my undergraduate, where I finished my thesis on wearable EEG-SSVEP sensors and pipeline. I also worked as a research assistant intern at Michigan State University with Dr. Jinxing Li, whom I was advised by with during my previous experience at Stanford University, Bao Group.

I am interested in ML4 Health, Wearable Technology, HCI and Brain-computer Interface researches. I am not only interested but enthusiastic in transforming clinical and medical into everyday wearable technologies to help reduce the load of medical providers and provide day-to-day healthcare to the public, which includes but not limit to

• Develop high performance wearable interfaces to achieve imperceivable electrophysiological and electrochemical sensing in wearabing environment.
• Invasive brain-computer interfaces and real time monitoring of ECoG or intracortical neural signal, enabing a more complex wearable modality or even close-loop simulation.
• Integrate more complex and universal sensing modalities to achieve integrated and combined sensing systems, including EEG, EMG, EOG, ECG, glucose, lactate or even hormone.
• Machine learning on wearable data, data processing and analysis pipeline on personal health profile with wearable sensing data.