Summary
Michael Jarret is an associate director and professor specializing in quantum algorithms, classical algorithms, and high-performance computing, with over a decade of experience bridging academic research and applied development. At George Mason University he leads efforts in the Quantum Science and Engineering Center while teaching algorithms, discrete math, and numerical computing with an emphasis on rigorous reasoning under uncertainty. His background includes postdoctoral work at Perimeter Institute, research at NIST and JQI, and applied research leadership at Booz Allen Hamilton, giving him a rare mix of theoretical depth and real-world program experience. He focuses on designing efficient computational methods for both near-term quantum devices and large-scale classical systems, and he’s actively involved in curriculum development and mentoring undergraduate research. Notably, his work explores how emerging computational models reshape foundational assumptions and how to prepare students to navigate that transition without losing mathematical rigor.
11 years of coding experience
12 years of employment as a software developer
The University of Maryland, College Park
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Binghamton University
English