Summary
Frank Rong is an MSBA candidate and quantitative problem-solver with 13 years of technical experience blending data science, control systems, and embedded development. He recently graduated from UT Austin with dual degrees in Mathematics and Economics and has applied that foundation to improve system performance (including a 33% efficiency gain in laser control) and to build data infrastructure for semiconductor manufacturing. Frank contributes to robotics and embedded projects—adding timing, ADC, and motor/servo control to a Stellaris Launchpad controller—and currently trains machine-vision models for clinical screening of spinal canal stenosis. Comfortable translating complex technical insights into actionable business strategies, he pairs hands-on coding (Python, MATLAB, LabVIEW) with a research mindset and an unusual mix of interests spanning semiconductors, systems control, game theory, competitive fencing, and Magic.
13 years of coding experience
2 years of employment as a software developer
Master of Science in Business Analytics, Master of Science in Business Analytics at The University of Texas at Austin
High School Diploma Mathematics and Computer Science, High School Diploma Mathematics and Computer Science at Allen High School
Chinese