معرفی
Alex Gates is an Assistant Professor at the School of Data Science, University of Virginia, where he conducts research at the intersection of data science, network science, and human behavior. He joined in 2022 after serving as an Associate Research Scientist at Northeastern University's Network Science Institute and Department of Sociology.
Education:
- Ph.D. in Informatics and Cognitive Science, Indiana University, Bloomington
- M.Sc. in Complex Systems Modeling, King's College London
- B.A. in Mathematics, Cornell University
His research centers on understanding how connectivity shapes human behavior through computational and network-based approaches. He works in computational social science, leveraging large-scale data to study interdisciplinary structures, collaboration networks, and scientific innovation. His work emphasizes multi-modal scientific communication, including interactive models, videos, and data visualizations that make complex systems accessible.
Award-winning data visualizations have been a hallmark of his outreach and research impact. His work has been published in top-tier journals such as Nature, Proceedings of the National Academy of Sciences (PNAS), and The Journal of Machine Learning. Though specific articles are not listed, his research themes consistently focus on network dynamics, interdisciplinary knowledge integration, and science of science.
Scientific Awards:
- Award-winning data visualizations
He advises students in data science and network research, though no named students are listed. His work has been supported by research positions at leading institutions, and he actively contributes to public understanding of science through innovative communication. He maintains a strong online presence via his personal website, Google Scholar, ORCID, and GitHub.
He is affiliated with the research team at the University of Virginia's School of Data Science, where he leads projects involving complex networks, scientific collaboration, and modeling social systems.
