Summary
Christian Duffee is a doctoral candidate in Electrical Engineering at Northwestern University with 11 years of hands-on experience at the intersection of spintronics, probabilistic computing, and AI. He models and fabricates novel spintronic devices and has coauthored work on purely spintronic asynchronous recurrent neural networks, combining circuit simulation (Virtuoso, Spectre, HSpice, Verilog) with custom tooling in Java and MATLAB. Christian brings industry-tested engineering practices from roles at Qorvo—where he led qualification testing, data analytics, and process improvements—together with a strong academic record (BS summa cum laude, MS, now PhD). Comfortable working solo or in teams, he uniquely blends low-level device fabrication, system-level modeling, and software automation to push probabilistic hardware toward practical AI applications.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at The University of Texas at Dallas
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Northwestern University