Summary
Hao Xuan is a PhD candidate and experienced researcher at the University of Kansas with nine years in software development, machine learning, and bioinformatics research. Currently a Graduate Research Assistant, he combines deep learning and LLM expertise with hands-on software engineering to advance data-driven biomedical problems. He has taught algorithms and programming courses, translating complex concepts into practical implementations for students and research projects. Hao’s background spans an MCA in Computer Science and a PhD in Bioinformatics, positioning him to bridge algorithmic rigor with applied ML systems. Notably, he pairs academic research productivity with real-world software development practices, making him effective at moving models from prototype to reproducible code.
9 years of coding experience
3 years of employment as a software developer
University of Kansas
Master of Computer Applications - MCA, Computer Science, Master of Computer Applications - MCA, Computer Science at Capital Normal University