معرفی
Dr. George Cantwell is an Assistant Professor in the Department of Engineering at the University of Cambridge, affiliated with Cambridge Infectious Diseases. He specializes in computational methods for inference problems, particularly in disease spreading across networks.
- Education: PhD in Physics from the University of Michigan; postdoctoral fellowship at the Santa Fe Institute
His research focuses on network science, complex systems, and statistical inference, with an emphasis on computational approaches. His work spans theoretical and applied domains, including:
- Message passing algorithms for heterogeneous networks
- Bias correction in social network analysis (friendship paradox)
- Statistical inference of network structure from noisy data
- Modeling judicial voting behavior through network interactions
- Computational cognitive neuroscience of category learning
Recent publications highlight interdisciplinary applications in epidemiology, physics, and cognitive science. He actively mentors students in networks, complex systems, and statistical inference.
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