Biography

Sebastian Rojas Gonzalez obtained a degree in Industrial Systems Engineering from the Costa Rica Institute of Technology, where he also received training in Astronomy and Astrophysics. He then obtained a M.Sc. in Applied Mathematics from the Harbin Institute of Technology in Harbin, China. For his PhD, he worked on methods to solve surrogate-assisted multiobjective simulation optimization problems at the Department of Decision Sciences, KU Leuven, Belgium. 

Sebastian is currently an FWO Post-doctoral Fellow working with the Department of Information Technology at Ghent University. He is also a lecturer within the Computational Mathematics group at the Data Science Institute. His research work is centered on developing model-based algorithms assisted by machine learning techniques for single- and multi-criteria decision making, with a focus on data-efficiency and noisy optimization.