Grace Ng is a student in the combined MD/MSHP (Master of Science in Health Policy Research) degree program at the Perelman School of Medicine of the University of Pennsylvania. Her research work spans the fields of computational neuroscience and health disparities research. She has previously conducted research applying machine learning techniques to conduct automated analysis of spinal imaging, developing statistical analyses for brain-computer interfaces, and building mathematical models of Parkinson’s Disease and epilepsy pathogenesis in the brain. Through the MSHP, she is conducting research about outcomes disparities within neurosurgery and the creation of risk-assessment tools to improve medical decision-making. At Penn, she has also been involved in medical education initiatives to develop social medicine courses and implicit bias trainings for medical students, various community clinics including the Philadelphia Human Rights Clinic, and health advocacy projects in collaboration with community organizations.
Ng graduated from Stanford University with a B.S. in Symbolic Systems (a program that combines neuroscience and computer science) and a minor in Biology.