Pascal Wissink is assistant professor of Logistics, Data, and Uncertainty at the department of Operations Analytics of the School of Business and Economics, Vrije Universiteit Amsterdam.

Pascal obtained his bachelor's (2011) and master's (2013) degrees in Econometrics and Operational Research from the Erasmus University in Rotterdam, and a PhD degree (2019) in Management Science and Business Economics from the University of Edinburgh. Prior to joining the VU, he worked as a scientist and project manager at TNO (The Netherlands Organisation for Applied Scientific Research) from 2015 to 2019.

Pascal specialises in topics at the cutting edge of logistics, uncertainty, and data analytics: He studies logistics challenges where uncertainty plays a substantial role and exploits data analytics to reveal explanatory relationships. His current research focuses mainly on modelling the relationships and interactions between the uncertain components of a network. For example, between the uncertain customer presences in a transportation network for ridesharing services or parcel delivery. His research interests include stochastic dependencies, stochastic routing, stochastic discrete optimisation, algorithm design, and operational analytics.

Pascal lectured several courses at the undergraduate and postgraduate level including Statistics for Finance, Computing for Business, Developing Skills For Business Leadership, and Supply Chain Management. He is currently coordinator of Business Processes (BSc Bedrijfskunde) and Process Analytics (PGDip in Business Analytics and Data Science) courses and thesis coordinator for the MSc programme in Transport and Supply Chain Management. He also teaches students taking these courses and supervises thesis students of the respective programmes.

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