Phillip Kerger completed his PhD in Applied Mathematics at Johns Hopkins University, where his research focused on optimization, classical and quantum algorithms, and complexity. Professor Kerger’s work at NASA’s Quantum Artificial Intelligence Laboratory (QuAIL), in collaboration with USRA, allowed him to delve into distributed quantum algorithms. Prior to his PhD, he earned his bachelor’s degree in mathematics from Fordham University, where he conducted research on parameter estimation for heavy-tailed stochastic processes.
Dr. Kerger is deeply passionate about teaching. At Johns Hopkins University, he served as the primary instructor for multiple courses and was recognized as a teaching fellow in the Department of Applied Mathematics and Statistics, along with several awards for his work as a teaching assistant.