Bowei (Jacky) Ouyang received his BS in Applied Mathematics from UCLA (2015), MS in Applied Statistics (2017), and PhD in Applied Mathematics (2024) from the University of Pittsburgh. His research focuses on dynamical optimization modeling and deep learning algorithms, with notable work in animal navigation algorithms and classification of psychosis spectrum disorders using graph convolutional networks. He has advanced animal navigation accuracy through sophisticated algorithms and has experience in high-performance computing and web design. His expertise spans MATLAB, Python, optimization, deep learning models, and stochastic modeling.

