Summary
Aaron Mueller is a quantitative analyst and PhD-trained electrical engineer with a decade of experience bridging optics, photonics, MEMS fabrication, and data-driven finance. He pairs deep mathematical and experimental skills—designing micro-/nano-devices and automating large-scale simulations and instrument control—with practical expertise in database design, ESG metrics, and impact evaluation for green finance. Comfortable across MATLAB, Python, and SQL, he has built reproducible pipelines for simulation, TEM data processing, and parametric sweeps, and has led process improvements that raised fabrication yields. Now based in Irvine, he leverages multidisciplinary research and mentoring experience to translate complex physical systems into actionable quantitative insights for data science, engineering, or research roles. An uncommon combination of hands-on device fabrication and production-ready data engineering gives him an edge when quantifying real-world environmental and technological outcomes.
10 years of coding experience
8 years of employment as a software developer
Actuarial Science, Actuarial Science at University of Wisconsin-Madison
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Nanyang Technological University
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at University of Wisconsin-Milwaukee
Mandarin, Mandarin at National Taiwan Normal University
English, Chinese, Spanish, Indonesian