Bryan Wilder
Schmidt Science Fellow @ Carnegie Mellon Univeristy, USA
optimization
machine learning
social networks
public health
2
presentations
1
number of views
SHORT BIO
Bryan Wilder is Schmidt Science Fellow at Carnegie Mellon University and Harvard School of Public Health. In Fall 2022, he will join CMU as an Assistant Professor in the Machine Learning Department. His research focuses on the intersection of optimization, machine learning, and social networks, motivated by applications to public health. He was previously supported by the NSF and Siebel Fellowships and his work has been a finalist for best paper awards at ICML, AAMAS, and the INFORMS Doing Good with Good OR competition.
OTHER AFFILIATIONS
Harvard School of Public Health
Presentations
AI for Population Health: Melding Data and Algorithms on Networks
Bryan Wilder
Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling : Policies for Effective Graph Sampling
Harshavardhan Kamarthi and 4 other authors