Marcos Magaña is a researcher at Banco de México with 11 years of experience applying advanced optimization algorithms, mathematical modeling, and data mining to support decision making in a central bank context. Nearing completion of a Ph.D. in Mathematics from Cinvestav–IPN, he combines deep theoretical expertise in combinatorics and optimization with practical model deployment for institutional use. Since 2015 he has led the development and adaptation of bespoke optimization tools that translate complex economic constraints into tractable computational solutions. His profile blends rigorous academic training (Ph.D. and M.Sc. in Mathematics) with sustained applied research, enabling him to bridge theory and practice in large-scale decision problems. Based in Mexico City, he is known for tackling algorithmic challenges that improve operational and policy-oriented outcomes behind the scenes.
11 years of coding experience
The National Polytechnic Institute of Mexico
Licenciatura, Matemáticas, Licenciatura, Matemáticas at Universidad de Colima
Simplified interface for encryption of data and files.
Contributions:35 commits, 30 pushes, 1 branch in 2 years 8 months
encryption
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