Bryan Wilder
Assistant Professor, Machine Learning
Bryan Wilder's research focuses on AI for equitable, data-driven decision making in high-stakes social settings, integrating methods from machine learning, optimization, and social networks. Much of his work is motivated by public health applications, including HIV prevention, maternal and child health, and COVID-19. Previously, he was a Schmidt Science Fellow at Harvard School of Public Health and Carnegie Mellon University. He completed his Ph.D. in computer science at Harvard University.