Jack Dunn

Jack is a Co-Founding Partner of Interpretable AI. He has developed many novel analytics approaches including the Optimal Trees methodology, and has considerable experience applying machine learning and AI to problems in both research and industry settings. He is the co-author of the award-winning graduate level textbook Machine Learning Under a Modern Optimization Lens. Jack has a PhD in Operations Research from MIT.