Tony Dear

Tony Dear is a Lecturer in the Discipline of Computer Science at Columbia University, where he has been shaping the future of robotics and artificial intelligence since 2018. He holds a Bachelor’s degree in Electrical Engineering and Computer Science from the University of California, Berkeley, as well as a Master’s and PhD in Robotics from Carnegie Mellon University. His academic focus includes teaching courses such as Artificial Intelligence, Discrete Mathematics, and Data-Driven Decision Modeling, where he emphasizes the integration of theoretical concepts with practical applications. In addition to his teaching responsibilities, Tony serves as the faculty director for Columbia's Online Artificial Intelligence Executive Education program and has developed a course on Decision Making and Reinforcement Learning available on Coursera. His research interests lie in geometric mechanics and deep reinforcement learning, particularly in applying these concepts to improve robot locomotion. With a commitment to fostering innovation and collaboration among students, Tony Dear continues to make significant contributions to the fields of computer science and robotics through his teaching and research initiatives.