Summary
Yuxuan Du is a research-focused electrical and computer engineering PhD student at the University of Minnesota with nine years of technical experience spanning biomedical signal processing, computer vision, and real-time graphics. They develop and validate ML models for ECG classification and signal filtering, and have published work distinguishing RA and LA sinus rhythms at IEEE EMBC. Past projects include designing CNNs and 3D reconstruction pipelines for ASML, and building animation tooling between Maya and Unity as a 3D artist—evidence of fluency across research codebases and production art pipelines. Yuxuan also brings interdisciplinary creativity from directing award-winning short films, combining storytelling and technical production skills that sharpen user-focused system design. Experienced as a C++ teaching assistant and mentor, they bridge pedagogy and research, helping students turn theory into working code. Based in Minneapolis, they pair rigorous engineering with a subtle creative edge that often yields practical, experimentally validated solutions.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Art, Bachelor's degree, Electrical and Electronics Engineering, Art at UC Santa Barbara
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at 美国明尼苏达大学双城分校