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Personal profile

Personal information

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.

Research

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.

Teaching

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.

Ancillary activities

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Ancillary activities are updated daily

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 17 - Partnerships for the Goals

Academic qualification

Stochastic Routing, PhD, University of Edinburgh

1 Sept 200110 Jul 2019

Award Date: 10 Jul 2019

Econometrics and Operational Research, Master, Quantitative Finance, Erasmus University Rotterdam

1 Sept 20117 Feb 2013

Econometrics and Operational Research, Bachelor, Financial Econometrics, Erasmus Universtiteit Rotterdam

1 Sept 200731 Aug 2011

Keywords

  • QA Mathematics
  • Operational research
  • Stochastic routing
  • Management science
  • HE Transportation and Communications
  • Vehicle routing
  • Travelling Salesman Problem
  • Logistics
  • HB Economic Theory
  • Supply chain management
  • Business economics

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