Manuel Gomez Rodriguez

Manuel Gomez Rodriguez is a Professor at the Max Planck Institute for Software Systems, specializing in machine learning, social information systems, and human-AI collaboration. His research bridges algorithmic fairness, counterfactual reasoning, and decision-making systems, with applications in public health, refugee resettlement, and language model evaluation. He leads projects developing frameworks for human-aligned AI systems and mitigating counterfactual harms in algorithmic decisions.

Research Focus

His work spans the development of novel methods for evaluating large language models, designing decision support systems with counterfactual guarantees, and modeling human-AI collaboration dynamics. Key innovations include prediction-powered ranking systems, coupled token evaluation techniques, and computational models of responsibility attribution.

Awards and Recognition

• ERC Consolidator Grant (2024)
• Best Paper Award at ICML Workshop on AI and HCI (2023)
• ELLIS Fellow (2019)
• Outstanding Paper Award at NIPS (2013)

Leadership

He leads the ERC-funded project on Counterfactuals in Minds and Machines and supervises doctoral students on topics at the intersection of machine learning and social good. His lab maintains collaborations with global institutions to tackle real-world challenges through algorithmic innovations.