Juan Ungredda earned his PhD in Mathematics for Real-World Systems at the University of Warwick, UK. His thesis focused on designing Bayesian optimization algorithms for expensive-to-evaluate problems and subsequently joined ESTECO's Numerical Method Group as a Researcher in 2022.