PhD, Management Science and Engineering, Stanford University, 2019
Bachelor of Engineering with First Class Honors, Operations Research, University of Auckland, 2013
Dr. Oliver Hinder's research focuses on continuous optimization, with a penchant for local optimization methods such as gradient descent. Dr. Hinder aims to develop reliable and efficient algorithms built on solid mathematical foundations. This research is motivated by applications in network optimization and machine learning that push the limits of current computational capabilities.