Dr. Irving Gómez Méndez is an Assistant Professor at CMKL University specializing in data science, machine learning, and applied statistics. His research combines statistical theory with practical artificial intelligence to develop data-driven solutions for real-world challenges across finance, public policy, and healthcare.

He earned his Ph.D. in Probability and Statistics from the Center for Research in Mathematics (CIMAT), Mexico, and completed a research stay at the French National Institute for Research in Digital Science and Technology (Inria), France.

• Ph.D., Probability and Statistics, Centro de Investigación en Matemáticas (CIMAT), Mexico
• M.S., Probability and Statistics, CIMAT, Mexico
• B.Eng., Mathematics, Instituto Politécnico Nacional (IPN), Mexico

• Machine learning (random forests, neural networks, support vector machines, recommender systems)
• Statistics (inference, regression, Bayesian statistics, multivariate analysis)