Summary
Mario Garza-fabre is an Associate Professor and researcher with nine years of experience specializing in (meta-)heuristic optimization, evolutionary computation, and their application to data mining, machine learning, and bioinformatics. Holding a PhD from CINVESTAV and with postdoctoral work and research roles at The University of Manchester and Liverpool John Moores, he has a strong track record of tailoring optimization methods to both combinatorial and continuous, single- and multi-objective problems. His work spans real-world domains—from protein structure prediction to maritime logistics—demonstrating an ability to translate theoretical advances into practical solutions. Known for interdisciplinary collaboration, he blends rigorous academic research with hands-on algorithm development and teaching experience across Mexican and UK institutions.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at CINVESTAV
Spanish, English