Assistant Research Professor in the School of Nursing
My research passion lies in utilizing advanced signal processing and machine learning to advance the field of biomedical research. My research interests include understanding neuromotor related diseases (such as Cerebral Palsy and Parkinson's disease) through analyzing invasive and noninvasive eletrophysiologic signals (EEG, LFP, ECoG), studying dynamics and early prediction of acute coronary syndrome from pre- and in-hospital ECG recordings. I'm also interested in biomedical informatics using data mining and machine learning techniques to analyze multi-modality data (bedside monitor alarms, electronic health record, vital signs, physiologic data) towards precision patient monitoring in critical care settings.
Current Research Interests
data mining, machine learning and deep learning in biomedical informatics; neuromotor development at early age; Pathophysiology in Parkinson's disease; early prediction of mycardial infarction; early warning system using EHR in critical care setting.
Current Appointments & Affiliations
Education, Training, & Certifications
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