Francisco Santos

Francisco Santos is a researcher with a focus on Discrete Geometry, Combinatorics, and Computational Geometry. His work bridges theoretical foundations with applications in machine learning and data science. Affiliated with Oak Ridge National Lab, he collaborates internationally on interdisciplinary projects.

• Research interests include polytopes, geometric algorithms, optimization, and fair machine learning.
• Publications span high-impact venues like Discrete & Computational Geometry and SIAM Journal on Applied Algebra and Geometry.

Notable contributions include studies on multiassociahedra, associahedra minimization, and algorithmic geometry problems. Recent work explores fair cross-network node classification and LoRa sensor networks for environmental monitoring.