Toby Mao

Yuncong Toby Mao, from Baltimore, Maryland, is an MD candidate at Stanford School of Medicine. He earned a BS in neuroscience with a concentration in computational neuroscience from Johns Hopkins in 2023. Motivated by the opioid epidemic in his community, he collaborated with a substance misuse prevention nonprofit and helped to design educational programs in middle and high school health classes. In college, Yuncong conducted research to develop digital twin models to improve the precision and affordability of cardiac care. He also founded GlioNet, an AI-driven platform for glioblastoma prognostication, collaborating with neurosurgeons and Johns Hopkins Tech Venture. As a Fulbright research scholar in Germany, he worked with refugees who lacked access to cardiac mapping systems and created a deep learning algorithm that used electrocardiograms as a low-cost tool to support clinical decision-making. He was also a visiting master's student studying robust machine learning at the University of Cologne.