Gabriela Ochoa is a Professor of Computing Science at the University of Stirling in Scotland. Her research lies in the foundations and applications of evolutionary algorithms and metaheuristics, with emphasis on autonomous search, fitness landscape analysis and visualisation and combinatorial optimisation. She holds a PhD from the University of Sussex, UK, and has held academic and research positions at the University Simon Bolivar, Venezuela, and the University of Nottingham, UK. Her recent work on network-based models of fitness landscapes has enhanced their descriptive and visualisation capabilities, producing a number of publications including several best-paper awards and nominations at leading venues. She collaborates cross-disciplines in the use of evolutionary algorithms to healthcare and conservation. She has been active in organisation and editorial roles within leading Evolutionary Computation conferences such as the Genetic and Evolutionary Computation Conference (GECCO), Parallel Problem Solving from Nature (PPSN), and Journals such as IEEE Transactions on Evolutionary Computation, Evolutionary Computation, and ACM Transactions on Evolutionary Learning and Optimisation (TELO). She is a member of the ACM SIGEVO executive board and was recognised in 2020 In EvoSTAR for her outstanding contributions to the field.