Pascal Wissink

  • Assistant Professor, Logistics, Data and Uncertainty, Operations Analytics
Research focus
Dependencies in stochastic networks based on AI technologies.
Research Description:

Our research aims to use data analytics to reveal explanatory relationships and interactions. Some of his ongoing projects, for example, investigate the relationships between the uncertain customer presences in a transportation network for parcel delivery, the interactions between stakeholders in a supply chain network for the pharmaceutical industry, a project about Blood Collection Operations where he applies this expertise, as well as in an NWO project about the resilience of Dutch pharmaceutical supply chains following the COVID-19 outbreak.

  • Technological challenges
  • Health challenges
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