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Ceribell’s VP of Data Science with over 15 years of algorithm design experience for various medical applications spanning from Brain‐Computer Interface, bioelectricity and audiometry to diagnostic and treatment algorithms for chronic diseases such as cardiac arrhythmias and heart failure, chronic pain, urinary incontinence and brain stimulation. Started at St. Jude Medical in the clinical systems engineering department and gained extensive experience in all aspects of medical device and algorithms product lifecycle for various cardiovascular and neuromodulation applications and later joined a start-up company, Element Science, to design a machine learning algorithm for a wearable cardioverter defibrillator for patients at high risk of sudden cardiac arrest. Background in Electrical Engineering from Sharif University of Technology and completed Master’s and Ph.D. programs at University of Minnesota ECE department and worked as a visiting researcher at Stanford University, School of Medicine.