C. (Charles) Wan MSc
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.
PhD Track Ph.D. Research in Business Analytics in Information Systems
We are living in a highly connected world that is filled with digital technologies, social media, mobile devices, Internet-of-Things, smart cities, and connected cars. Growth of the information technologies has created new opportunities across different industries as companies innovate to meet changes in consumer demand, and has given rise to new challenges. In our Ph.D. program in Information Systems, you will be trained to conduct innovative research to address increasingly complex challenges facing digital society. Our faculty is working on a variety of projects in this area ranging from digital platforms, mobile advertising, recommendation and personalization, social networks, online piracy and privacy, and the role of AI.
We are seeking highly motivated students with demonstrated academic ability, those who possess a commitment to interdisciplinary research on significant information technology and management issues, and those who desire to pursue an academic research career in this field. You will be part of the Business Information Management (BIM) section within the Department of Technology & Operations Management at the Rotterdam School of Management, Erasmus University.
Applicants must have strong quantitative training, with preference given to candidates who have earned an MSc, MPhil or Research Master in economics, computer science, econometrics, statistics, or a related field. Successful candidates have proficiency with R, SQL, Python, or other programming languages.
As a Ph.D. student, you will gain the training and experience necessary to conduct independent research through course work in information systems, economics, econometrics, machine learning, and large-scale data analytics. You will work closely with the advisors to define, develop, and execute your own research. The Ph.D. dissertation will be defined by the student with inputs from the advisors, and thus requires creativity, self-direction, and a passion for scientific inquiry.
- Artificial intelligence, business analytics, information strategy, digital innovation, digital platforms, economics of information systems
- Time frame
- 2019 -
Burgemeester Oudlaan 50
3062 PA Rotterdam
3000 DR Rotterdam