Dr. Sebastian Rojas Gonzalez

Sebastian Rojas Gonzalez


Sebastian Rojas Gonzalez obtained a degree in Industrial Systems Engineering from the Costa Rica Institute of Technology in 2012, where he also received training in Astronomy and Astrophysics.

In 2016 he obtained a M.Sc. in Applied Mathematics from the Harbin Institute of Technology in Harbin, China.

In 2016 he moved to the Department of Decision Sciences of KU Leuven, Belgium, to work on a PhD in multiobjective simulation optimization. His research work is centered on developing stochastic optimization algorithms assisted by machine learning techniques for multi-criteria decision making.

In 2020 Sebastian obtained an FWO Post-doctoral Fellowship, and is jointly working with the Department of Information Technology at Ghent University (BE), the Data Science Institute (UHasselt-KU Leuven), and the Department of Operations (Research) at The University of Warwick (UK). 

Research interests

  • Bayesian optimization
  • Surrogate modeling
  • Gaussian Processes (Kriging)
  • Multiobjective (simulation) optimization
  • Optimization under uncertainty
  • Aplication of machine learning methods to astronomical datasets