Dan Gutfreund

Dan Gutfreund is a Principal Research Scientist and Senior Manager at the MIT-IBM Watson AI Lab, focusing on machine learning with applications to natural language processing and computer vision. He previously held managerial and technical roles at IBM's Haifa Research Lab and was involved in IBM Project Debater. Gutfreund earned his PhD in computer science from the Hebrew University in Jerusalem in 2005.

His research spans Neuro-Symbolic AI, Computational Complexity, and Foundations of Cryptography, with notable contributions to datasets like Moments in Time and ObjectNet. His recent work includes multimodal models for the metaverse, generative AI for engineering design, and simulator-assisted training for interpretable systems.

Gutfreund's publications reflect expertise in AI applications for supply chain prediction, avatar personalization, and reconciling virtual disputes. He has also explored evolutionary algorithms for software engineering and constraint-based generative models in design tasks.