Maxwell Wang

Fellowship Awarded 2020

Using mathematics and neuroscience, Maxwell Wang is personalizing the way we care for our patients.

Entering an MD/PhD program at the University of Pittsburgh and Carnegie Mellon University in 2017, his research focused around a central goal: can we use precision instruments and algorithms to identify the right treatment for the right patient? Maxwell first tackled this problem in treating depression, developing an analysis pipeline that could accurately predict two months in advance whether an antidepressant would work in patients.

Maxwell is now pursuing a PhD at Carnegie Mellon in neuroscience and machine learning, with the mentorship of Professors Avniel Ghuman, Max G’Sell, and Rob Kass. His current research goal is to understand how brain networks change during neuro-interventions, such as deep brain stimulation, and to link these changes to end-points such as symptom improvement and adverse side-effect profiles.

A graduate of Washington University in St. Louis, Maxwell attended on a full scholarship. He anticipated becoming an aeronautical engineer, but after a conversation with Professor ShiNung Ching, an electrical engineer turned neuroscientist, Maxwell decided to switch course. After graduating early with a bachelor’s degree in electrical engineering, Maxwell worked for a year with Professor Pratik Mukherjee and Dr. Cyrus Raji at the University of California, San Francisco, developing algorithms to detect changes in the brain due to disease.

The son of Taiwanese immigrants, Maxwell was born in New York and grew up in the industrial city of Rockford, Illinois. Finding his school poorly resourced, Maxwell started learning math by sneaking into the back of classrooms at a local community college while he was in elementary school. A valued mentor he met through there, Professor Tom Anderson, connected him with the math department at the University of Illinois, Urbana-Champaign where he started taking courses in calculus and applied math in fifth grade.

Fascinated by the potentials of applying computational math to engineering applications, Maxwell dropped out of high school and studied a variety of topics ranging from computer science to industrial skills, such as welding. While still a young teenager, he published his first research manuscript, with Professor Brian Williams of MIT CSAIL, on machine learning algorithms to direct networks of unmanned aerial vehicles.

“Everybody’s brain is unique and reacts to things differently in ways that can be hard to detect. I want to use mathematics and neuroscience to personalize the way we care for our patients.”
– Maxwell Wang

Graduate Studies

Carnegie Mellon University
Machine Learning, Neuroscience


2018, Spring Alumni Travel Award, Amgen
2016, Rick Grodsky Electrical & Systems Engineering Award for Technical Achievement, Washington University in St. Louis
2015, Outstanding Sophomore Award, Washington University in St. Louis Department of Electrical and Systems Engineering