Sean received his B.S. and M.S. in Computer Science from the University of Washington. In search of sunnier skies, he came to UCSB in 2019 to develop machine learning models to predict and control network processes. He hopes his research will be used to design robust public infrastructure and help inform policy makers who work in economic development. He is currently working on the DTRA project to combine physics and data driven models for critical infrastructure resiliency.
Network Science, Machine Learning, Dynamical Systems, Controls