Paul Werbos, is a distinguished American mathematician and engineer renowned for his groundbreaking contributions to the field of artificial intelligence. He is credited with introducing the backpropagation algorithm to train artificial neural networks. He embarked on his academic journey at Harvard University, where he earned a Bachelor of Arts degree in Economics. A year later receiving another degree in Economics from the London School of economics. Werbos furthered his education at Harvard, obtaining a Ph.D. in Applied Mathematics while also studying Quantum Physics. This diverse academic background laid the foundation for his later work, showcasing an ability to bridge the gap between science, mathematics, and economic theory. Werbos has won several awards and has held various influential roles, including serving as a program director at the National Science Foundation for over twenty-five years. His website is https://www.werbos.com/