Yurii Nesterov is the world’s leading authority on the efficiency of algorithms for continuous optimization. Since 1993, he has been working at UCLouvain, specifically in the Department of Mathematical Engineering from the Louvain School of Engineering, Center for Operations Research and Econometrics. His text, Interior-Point Polynomial Algorithms for Convex Programming, co-authored with A. Nemirovskii, utilized the theory of self-concordant functions to unify global complexity results obtained for convex optimization problems including linear, second-order cone and semidefinite programming. In 2000, Nesterov received the Dantzig Prize, jointly awarded by the Mathematical Programming Society and the Society for Industrial and Applied Mathematics, in recognition of his contributions to the theory of convex optimization. In 2009, Nesterov won the John von Neumann Theory Prize, while in 2016, Nesterov received the EURO Gold Medal.