Full Professor of Statistics and Operations Research at the University of Seville and President of math-in, the Spanish network for Maths in Industry. Interested in Data Science, viewed from the perspective of a Mathematical Optimization researcher. "Any type of mathematical modeling issue applicable to real world problems also makes me feel some type of click."
At amim'24, Emilio Carrizosa will give a short course entitled Explainable Data Driven Decision Making.
Member of NOVA Math at the Faculty of Sciences and Technology, NOVA University. His main research interests include combinatorial optimization, graphs, computational complexity, mathematical modelling and conservation biology.
At amim'24, Jorge Orestes will give a short course entitled Exploring mixed integer linear programming: applications to industry problems.