Tony Lindgren

Tony Lindgren is an Associate Professor at the Department of Computer and Systems Science, Stockholm University, affiliated with the Data Science Research Group and Natural Language Processing Research Group. His work bridges data science and NLP, focusing on interpretable models, constraint programming, and predictive maintenance systems.

Research interests include:

• Machine Learning for explainability and fairness
• Constraint Programming in maintenance optimization
• Natural Language Processing for risk analytics and troubleshooting

Recent publications demonstrate trends in multi-objective optimization (2025 satellite scheduling), conformal prediction (2024 CoPAL), and fault detection (2024 Automotive Nowcasting). His work often integrates domain-specific constraints with scalable algorithms across applications like food safety and autonomous vehicles.

Software tools developed by Lindgren include:

• Example-based Feature Tweaking
• Rule Indexing Frameworks

His research groups focus on AI-driven decision support for high-stakes domains, combining technical innovation with societal impact considerations.