Directory

Prof. Carlos FERNÁNDEZ-LORÍA

Prof. Carlos FERNÁNDEZ-LORÍA

Assistant Professor, Information Systems

imcarlos@ust.hk

Academic qualification

  • PhD 2021 New York University, Information Systems
  • MBA 2015 INCAE Business School
  • B.Sc. 2011 Instituto Tecnológico de Costa Rica, Computer Science

ACADEMIC AND PROFESSIONAL EXPERIENCE

  • Assistant Professor, The Hong Kong University of Science and Technology, 2021-present

SELECTED PUBLICATIONS

  • Fernández-Loría, Carlos, and Foster Provost. "Causal decision making and causal effect estimation are not the same... and why it matters." INFORMS Journal on Data Science (2022).
  • Fernández-Loría, Carlos, Foster Provost, and Xintian Han. "Explaining data-driven decisions made by AI systems: The counterfactual approach." MIS Quarterly (2022). Forthcoming.
  • Fernández-Loría, Carlos, and Foster Provost. "Causal Classification: Treatment Effect Estimation vs. Outcome Prediction." Journal of Machine Learning Research (2022). Forthcoming.

RESEARCH INTERESTS

  • Automated decision making
  • Statistical inference for treatment assignment policies
  • Causal inference
  • Interpretable machine learning