Biography
Charles is broadly interested in how humans make decisions against a certain causal structure or representation of the world. Recently, the adoption of statistical learning algorithms has introduced a novel causal context for studying the human learning-cum-decision-making process. Charles' research explores how statistical learning algorithms interact with human agency, human causal reasoning, organizational information-processing, and organizational decision-making.
Previously Charles worked as a commodities trader in Europe, the US, and Asia.
For more information please visit https://wan-charles.github.io/Opens external.
Rotterdam School of Management, Erasmus University
PhD candidate | Department of Technology and Operations Management
- wan@rsm.nl
Rotterdam School of Management, Erasmus University
External PhD candidate | Department of Technology and Operations Management
- wan@rsm.nl