Tony Lindgren

Tony Lindgren is an Associate Professor and Unit Head (SAS) at the Department of Computer and Systems Science, Stockholm University, under the Digital Futures Faculty. He leads research in machine learning, constraint programming, and logic programming. His work bridges theoretical computer science with practical applications in data-driven decision-making and predictive maintenance.

Research Interests:

• Machine Learning
• Constraint Programming
• Logic Programming
• Data Science
• Natural Language Processing
• Interpretable AI Systems

Key Contributions:

• Developed methods for explainable AI, including counterfactual explanations and conformal prediction frameworks.
• Pioneered fusion of constraint programming with machine learning for scheduling and maintenance optimization.
• Active in automotive and aerospace industries, addressing predictive maintenance challenges through interdisciplinary approaches.

Publications focus on interpretable machine learning, multi-objective optimization, and fault detection systems. His work appears in top venues like Machine Learning, IEEE Transactions, and International Conferences on Data Mining.

Lindgren co-leads the Data Science Research Group and Natural Language Processing Research Group at Stockholm University, driving innovation in scalable algorithmic methods and NLP applications. His software tools (e.g., Conformal Prediction frameworks) are publicly available via academic repositories.