Summary
Carlos Marrero is a research scientist and academic with 11 years of experience applying mathematics, machine learning, and quantum computing to data-driven modeling and graph-theoretic problems. Currently a joint appointee at Pacific Northwest National Laboratory and an assistant professor at Colorado State University, he blends lab-scale data science with curriculum development and graduate mentoring. His background spans postdoctoral work in topological quantum computing, algorithm implementation for quantum annealers, and applied roles as a mathematician and senior data scientist at PNNL. Trained with a PhD in Mathematics from the University of Houston, he translates deep theoretical insights into practical models and algorithms for complex systems. Colleagues describe him as someone who consistently connects abstract math to implementable computational tools, often exploring less obvious intersections between operator algebras, graph theory, and ML.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Mathematics, Doctor of Philosophy (PhD) Mathematics at University of Houston
Bachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at University of Puerto Rico, Río Piedras
English, Spanish