Dr. Mauricio Doniz
Dr. Mauricio Doniz Hernández is an accomplished applied mathematician, data scientist, and theoretical physicist, with a strong background in quantitative research and higher education. Dr. Doniz Hernández holds a PhD in Applied Mathematics from Universitat Politècnica de Catalunya, a Master of Advanced Study in Applied Mathematics and Theoretical Physics from the University of Cambridge (Homerton College), an MSc in Physics from Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, and a BSc in Electronic Engineering (graduated with honors) from Instituto Tecnológico y de Estudios Superiores de Monterrey.
His teaching experience spans several universities in Mexico, including Universidad Anáhuac México, Universidad Iberoamericana, and Universidad Panamericana, where he has delivered courses in data science, differential calculus, physics, research methodology, electrodynamics, electronics, and classical mechanics. Dr. Doniz Hernández has also taught technology and programming at the high school level, supervising technology faculty across multiple grade levels.
At GBSB Global Business School, Dr. Doniz Hernández contributes to an academic environment that emphasizes technology and the dynamic intersection between business and technological innovation. His expertise in applied mathematics, data science, and quantitative analysis supports GBSB Global’s mission to prepare students for the challenges of a digital and data-driven business landscape. By integrating advanced analytical methods and technological innovation into business education, he helps equip future business leaders with the skills needed to thrive in a rapidly evolving global marketplace.
In addition to his academic roles, Dr. Doniz Hernández has significant industry experience as a data scientist and operations manager in the web hosting sector, where he applied advanced statistical and machine learning techniques to improve service quality and operational efficiency. His technical expertise spans mathematical modelling, optimization, probability and statistics, machine learning, and a variety of programming languages and tools, including Python, SQL, C, C++, and cloud platforms.
Dr. Doniz Hernández’s research contributions include peer-reviewed publications in mathematical physics, such as work on multisymplectic formalism for cubic Horndeski theories, and essays on gravitational anomalies and memory effects in black holes. He is also certified as an IBM Data Science Professional and a cPanel and WHM System Administrator.
Fluent in Spanish and English, with working proficiency in Catalan and Italian, Dr. Doniz Hernández is committed to advancing knowledge through research, teaching, and the application of mathematical and computational methods to real-world problems.