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 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.