Haoyang Cao
Dr. Haoyang Cao applies her expertise to solve challenges in stochastic controls and differential games, contributing significantly to the field of applied mathematics and statistics. Joining Johns Hopkins University's Applied Mathematics and Statistics Department as an assistant professor in January 2024, she brings a wealth of knowledge and experience to her new role. Dr. Cao's research interests lie at the intersection of stochastic controls, stochastic differential games, mean-field games, and machine learning. Her work is characterized by the innovative use of stochastic analysis and modeling to address complex problems in various domains, including finance and healthcare. By integrating machine learning techniques, she enhances the predictive and analytical capabilities of her models, providing valuable insights and solutions to real-world challenges. Dr. Cao earned her Ph.D. in industrial engineering and operations research from the University of California, Berkeley, where she developed a strong foundation in mathematical modeling and optimization. Her academic journey includes a postdoctoral research position at Ãcole Polytechnique, where she further honed her skills in stochastic processes and game theory. Additionally, she served as a research associate at the Alan Turing Institute, contributing to cutting-edge research in data science and artificial intelligence. With her diverse background and interdisciplinary approach, Dr. Cao is poised to make significant contributions to the academic community at Johns Hopkins University. Her work not only advances theoretical understanding but also has practical implications, offering solutions to complex problems in various industries. As she embarks on this new chapter, Dr. Cao is committed to fostering collaboration and innovation in her field, inspiring the next generation of researchers and practitioners.