Arlei Silva is an Assistant Professor of Computer Science at Rice University with 11 years of experience building algorithms and models for mining and learning from complex, graph-structured data. His research blends machine learning, network science, graph theory, linear algebra, optimization, and statistics to address problems in computational social science, infrastructure, and healthcare. Prior industry research internships at NEC Labs, HP, and IBM inform his applied focus on system logs, privacy-preserving distributed analytics, and spatio-temporal data management. Trained with a PhD from UC Santa Barbara and graduate degrees from Universidade Federal de Minas Gerais, he combines rigorous theory with practical problem-solving. He has a track record of uncovering structure–attribute patterns in large graphs, a skill honed during a visiting scholar stint at RPI. Based in Santa Barbara, he brings academic leadership and interdisciplinary curiosity to real-world data challenges.
11 years of coding experience
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at UC Santa Barbara
Master's degree Computer Science, Master's degree Computer Science at Universidade Federal de Minas Gerais
Contributions:182 commits, 166 pushes in 1 year 2 months
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Arlei Silva - Assistant Professor at Rice University