Francesco Quinzan

Francesco Quinzan is a Researcher at the University of Oxford's Department of Computer Science. His work focuses on advancing AI alignment, causal machine learning, and combinatorial optimization with applications in medical imaging, reinforcement learning, and fair algorithm design. He leads the ELSA project under Prof. Marta Kwiatkowska's supervision.

Research interests include:

• Safe AI development through causal representation learning and doubly robust methods
• Optimization techniques for submodular functions and evolutionary algorithms
• Counterfactual analysis for bias detection in medical AI systems
• Reinforcement learning frameworks incorporating human feedback

Recent publications (2020-2025) demonstrate contributions to:

• Causal feature selection and invariant predictors
• Scalable optimization methods for large-scale problems
• Robustness in multi-agent systems and diffusion-based models
• Algorithmic fairness in constrained feature selection

Current projects involve:

• ELSA: Developing explainable and safe AI systems
• Optimal transport applications for domain correction
• Causal discovery from temporal data streams