School of Medicine
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Software Developer 2, SoM - CNC - Cracking the Neural Code
BioLisa Yamada is a PhD candidate in Electrical Engineering, working with Professor Paul Nuyujukian in the Brain Interfacing Laboratory at Stanford University. She is interested in applying data science and engineering tools for medical applications towards higher quality and more equitable care. As a computational neuroscientist and clinical research coordinator, she is currently investigating quantitative measures for seizure analyses using human neuroelectrophysiology data (e.g., intracortical EEGs of participants with refractory epilepsy). She graduated from Trinity College (Hartford, CT) with BS degrees in Electrical Engineering and Mathematics and earned her MS in Electrical Engineering from Stanford University. In her free time, she enjoys outdoor activities like hiking.