Bart Van Parys is an Assistant Professor in Operations Research and Statistics at the MIT Sloan School of Management.
His research interests are located on the interface between robust optimization and machine learning. He has completed a postdoctoral position at MIT Sloan in the Operations Research and Statistics Group.
Bart holds a BS in electrical engineering and an MS in engineering mathematics from KU Leuven. He received his PhD in control theory at ETH Zurich under the supervision of Prof. Manfred Morari.
Bertsimas, Dimitris, Bart P.G. Van Parys. Mathematical Programming: 1-40. Forthcoming.
Bertsimas, Dimitris, and Bart P.G. Van Parys. Annals of Statistics. Forthcoming. arXiv Preprint.
Gupta, Shuvomoy Das, Bartolomeo Stellato, and Bart P.G. Van Parys, MIT Sloan Working Paper 6521-20. Cambridge, MA: MIT Sloan School of Management, December 2021.
Bertsimas, Dimitris, Jean Pauphilet, and Bart Van Parys. Machine Learning Vol. 110, No. 1-2 (2021): 3177-3209. arXiv Preprint.
Van Parys, Bart P.G., Peyman Mohajerin Esfahani, and Daniel Kuhn. Management Science Vol. 67, No. 6 (2021): 3387–3402. arXiv Preprint.
Bennouna, Mohammed Amine and Bart P.G. Van Parys, MIT Sloan Working Paper 6519-21. Cambridge, MA: MIT Sloan School of Management, 2021.