New York City Metropolitan Area
• Conduct research in adaptive deep brain stimulation algorithms, utilizing computationally-efficient machine learning models and robust performance metrics for symptom prediction of Parkinson’s Disease within Bayesian frameworks. • Implement distributed processing system for Medtronic RC+S adaptive deep brain stimulation device to conduct real-time testing of algorithms with patient cohort, enabling future directions in remote stimulation calibration.
• Lead team of engineers and clinicians to develop a medical device to prevent pressure ulcers and alleviate caretaker burden, coordinating technical, regulatory, and business development of project across several remote locations.
• Led the design, manufacturing, and donation of student-designed switch interfaces to schools locally and around the world, enabling students with conditions like cerebral palsy to interact with games and learning software. • Created Enginuity, a platform connecting community members in need and students interested in working on real-world projects, integrating this as a resource for student organizations and course curriculum. • Pioneered community-partnered projects, forming collaborations with schools for disabled students, Penn Dental’s care center for disabled persons, local adapted sports programs, and the Mayor’s Office for People with Disabilities. • Fostered members’ professional growth by implementing various development programs, such as skills development workshops, hackathon trips, and innovative volunteering events to aid local organizations.
• Advise 25 students to evaluate clinician-requested innovation gaps and coordinate prototype development. • For eventual publication, develop longitudinal surveys and analyze impact of novel curriculum design: using preparatory design sprint to refine concept selection, improve student confidence, and maximize collaboration
• Guide students in applied modeling and design laboratory courses, providing support for diverse technical challenges.