Michael Pritchard

Dr. Pritchard teaches courses in unsupervised learning, reinforcement learning, large language models, and cybernetic systems with an emphasis on bridging theory and real-world application. His teaching approach focuses on developing students’ ability to think critically about complex systems, integrate interdisciplinary concepts, and apply computational methods to practical problems. He is committed to fostering an engaging learning environment that supports innovation, problem-solving, and the development of technical and analytical skills relevant to modern operational and research contexts.