Manuel Fernández-Delgado was born in Vimianzo (A Coruña, España) in 1971, and he has been a doctor since 1999. He works in Machine Learning and Pattern Recognition, using typical machine learning tools (Support Vector Machines, Adaptive Resonance Theory, Multi-Layer Perceptron, Radial Basis Functions, Self-Organizing Maps and Learning Vector Quantization, Probabilistic Neural Networks, Extreme Learning Machine, Generalized Regression Neural Networks), statistical classifiers and regressors (Linear and Quadratic Discriminant Analysis, Flexible and Mixture Discriminant Analysis, K-Nearest Neighbors, Gaussian Mixtures, Generalized Linear Models, Decision Trees), and classifier ensembles (AdaBoost, Random Forest, Bagging, Boosting), among others. He uses these techniques for pattern classification and regression in applications of image processing, detection of faults in communication antennas, time prediction in industrial mold production, and food (wine, potatoes, pollen) classification based on chemical analysis, among others.