Bryan Wilder

I am an Assistant Professor in the Machine Learning Department at Carnegie Mellon University. My research focuses on AI for equitable, data-driven decision making in high-stakes social settings, integrating methods from machine learning, optimization, and causal inference. Much of my work is motivated by public health applications. I completed my PhD in Computer Science at Harvard University. Before joining CMU as an assistant professor, I was a postdoctoral Schmidt Science Fellow at Harvard School of Public Health and Carnegie Mellon University.

For more information and current publications, see https://bryanwilder.github.io/.