Program Postdoctoral Fellow
George Cantwell joined SFI in September 2020, he works with Cris Moore on a project to identify exactly when and how it is mathematically possible to find patterns in massive but noisy datasets and to develop new algorithms that will solve modern data science problems efficiently and optimally.
His research has been focused on developing a theoretical understanding of the structure and function of real-world networks. Among other things, he has developed tools for understanding disease propagation, mixing patterns in social networks, percolation theory, network growth, community detection, and learning. Common to his projects is the desire to close the mathematical gaps between behaviorally rich models and real data.
George has a BA in Physics and Philosophy from the University of Oxford and received his Ph.D. in Physics from the University of Michigan.