Summary
Tony Shi is a joint assistant professor of Mechanical and Aerospace Engineering with a decade of experience bridging machining, metal additive and hybrid manufacturing with controls, materials science, and dynamical systems. He develops multi-fidelity, physics-informed models and machine-learning tools to unify machine-tool-process-material interactions for smarter factories, process selection, and path planning. His research blends vibration theory, friction stir deposition, and forging with CNC design and experimental data analytics to solve practical production challenges. Having progressed from PhD research at Peking University to academic appointments across Wisconsin and Tennessee, he brings both deep theoretical rigor and hands-on lab-to-factory translation. An applied mathematician by training, he is particularly focused on stability, bifurcation, and optimization approaches that reveal nonobvious failure modes and enable resilient manufacturing workflows.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Management Science and Engineering, Doctor of Philosophy - PhD, Management Science and Engineering at Peking University
Bachelor of Science - BS, Pure and Applied Mathematics, Bachelor of Science - BS, Pure and Applied Mathematics at China University of Geosciences (Beijing)