Diogo Aguiar Gomes is a Professor of Applied Mathematics at King Abdullah University of Science and Technology (KAUST), known for his contributions to the fields of Mean-field Games (MFG) and Hamilton-Jacobi equations. Professor Gomes has made notable advancements in regularity theory and monotonicity methods for mean-field games, as well as in Aubry-Mather theory, focusing on selection principles and the large-time behavior associated with Hamilton-Jacobi-Bellman equations.

Professor Gomes's impact is further evidenced by his extensive publication record, which features papers in leading mathematical journals, including the SIAM Journal of Financial Mathematics, Mathematische Annalen, and the SIAM Journal on Mathematical Analysis. His recent work examines applications of Mean Field Game theory within financial mathematics, provides comprehensive analyses of large-time profiles for Hamilton-Jacobi-Bellman equations, and investigates the existence of solutions for stationary mean-field games using variational inequalities. Professor Gomes has authored several books, including Regularity Theory for Mean-field Game Systems (Springer, 2016), Economic Models and Mean-field Games Theory (IMPA, 2015), and Viscosity Solutions of Hamilton-Jacobi Equations (IMPA, 2009).

Professor Gomes holds a Ph.D. in Mathematics earned in 2000 from the University of California, Berkeley, and a Habilitation in Mathematics from the Technical University of Lisbon in 2006. Following his doctorate, he held positions as a Postdoctoral Fellow at the Institute for Advanced Study in Princeton and as a Bing Instructor at the University of Texas at Austin. Before joining KAUST, he was a professor at Instituto Superior Técnico in Lisbon, Portugal.