Vassilis Christophides

Vassilis Christophides is a Professor of Computer Science at the University of Crete, actively engaged in research on ethical challenges in machine learning and algorithmic decision-making. He served as a fellow-in-residence at CY Advanced Studies (CY AS), invited by the ETIS laboratory, where he delivered a guest lecture on data ethics in high-stakes applications.

His research focuses on identifying and mitigating biases in machine learning systems, particularly in domains such as criminal justice, predictive policing, and credit-worthiness assessment. He advocates for early detection of data ethics issues in ML pipelines and explores methods to improve fairness through better data collection and cleaning strategies.

The trends in his work reflect a strong commitment to balancing model accuracy with fairness, using both statistical and causal approaches. His research emphasizes upstream interventions in data processing to enhance downstream model equity.

• Scientific Awards: None listed in provided text.

He has advised students and led research projects in the areas of data ethics and machine learning, though specific names and grants are not mentioned in the current document. His collaboration with the ETIS laboratory highlights his involvement in interdisciplinary research initiatives focused on responsible AI.

Vassilis Christophides is affiliated with the Department of Computer Science at the University of Crete and has contributed to advanced studies in AI ethics through guest lectures and research residencies, including at CY AS.