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Charles Wan
Rotterdam School of Management (RSM)
Erasmus University Rotterdam

More information

Profile

Charles is broadly interested in how humans make decisions against a certain causal structure or representation of the world.  Recently, the ubiquitous adoption of statistical learning algorithms has introduced a new causal context for studying the human learning-cum-decision-making process.

Charles' current research investigates - through both theoretical and empirical lenses - how machine learning interacts with human agency and organizational decision-making.  He is also exploring the intersection of economics of AI, human causal reasoning and the problems of generalization and robustness.

Previously Charles worked as a commodities trader in Europe, the US and Asia.

Courses

Data Management & Ethics

  • Study year: 2021/2022, 2020/2021
  • Code: BM02BAM
  • Level: Master

Web Mining and Analytics

  • Study year: 2021/2022, 2020/2021, 2019/2020
  • Code: BMME140
  • Level: Master, Master, Master, Master

BIM Master Thesis

  • Study year: 2021/2022, 2020/2021, 2019/2020
  • Code: BMMTBIM
  • Level: Master

BIM Thesis Clinic

  • Study year: 2021/2022, 2020/2021, 2019/2020
  • Code: BMRM1BIM
  • Level: Master

Past courses

Network Analytics

  • Study year: 2020/2021
  • Code: BM13BAM
  • ECTS: 6 Level: Master

Network Data Analytics

  • Study year: 2020/2021
  • Code: BMME014
  • ECTS: 6 Level: Master, Master, Master, Master