Joel Andersson

Joel Andersson
Software and algorithms for nonlinear optimization, algorithmic differentiation and optimal control.

Years at WID

2015 - present

About

Joel Andersson is a postdoctoral researcher in the group of James B. Rawlings at the Department of Chemical and Biological Engineering at the University of Wisconsin-Madison. After obtaining M.Sc. degrees in Engineering Physics and Engineering Mathematics from Chalmers University of Technology, he was a computational mathematician at the Institute of Biotechnology at the Jülich Research Center, followed by graduate studies in the group of Moritz Diehl at the Department of Electrical Engineering at KU Leuven. After obtaining his PhD degree, he worked as a self-employed industrial consultant using the main outcome of his PhD studies; the open-source optimization framework CasADi. His main interests are in the areas of computational methods for numerical optimization, in particular numerical optimal control, algorithmic differentiation and nonlinear model predictive control.

Education

PhD, Faculty of Engineering Science, KU Leuven