Maxwell Wang
MD/PhD Student, Univ. of Pittsburgh & Carnegie Mellon Univ.
PhD, Machine Learning (School of Computer Science), CMU
PhD, Neural Computation (Neuroscience Institute), CMU

Hertz Fellow, 2020

Google Scholar

Maxwell Wang, a former NetMath (Calculus & Mathematica) student at the University of Illinois, Urbana-Champaign, became fascinated with calculus and exploring Mathematica from a young age. After dropping out of high school and spending some time in the space of welding and auto repair, he started his undergraduate studies in electrical engineering at Washington Univ. in St. Louis in 2013 as a young teenager and graduated early in spring, 2016. He afterwards worked at the University of California, San Francisco on linking patterns between the structural and functional connectivity of the brain. He is now an MD/PhD student at University of Pittsburgh & Carnegie Mellon University Medical Scientist Training Program. He recently received his PhD in Machine Learning (School of Computer Science) and Neural Computation (Neuroscience Institute) at CMU where he was advised by Avniel S. Ghuman and Robert E. Kass. His thesis focused on the intersection between continuous analysis of neural signals over timescales orders of magnitude slower and longer than what is conventionally studied in cognitive neuroscience and methods in dynamical systems learning. He is now completing medical school with an interest in neuromodulation and traumatic brain injury.

Outside the lab, Maxwell loves to convey his emotions through classical ballet movements.  

Choreographed by Cecil Slaughter