Summary
Qi Li is a research-focused software engineer and educator with eight years of experience bridging applied development and machine learning research. Currently a Graduate Research Assistant and PhD candidate at Auburn University, Qi investigates generative model diversity (BigGAN) and 3D-renderer-based adversarial example generation while also supporting undergraduate teaching and curriculum improvement. Earlier roles at Tianjin Customs and an ERP consultancy grounded Qi's skillset in full-stack application development, data-driven systems, and operational workflows. Qi combines rigorous academic training (MS with a 4.0 and ongoing PhD) with practical production experience, uniquely positioning them to translate theoretical advances into deployable tools. Based in Auburn, Alabama, Qi is adept at mentoring students and collaborating with faculty to close gaps in student performance and research impact. A subtle strength is Qi’s background in customs and regulated environments, which informs a disciplined, security- and compliance-minded approach to research systems.
8 years of coding experience
Bachelor's degree in SoftwareEngineering, Computer Science, Bachelor's degree in SoftwareEngineering, Computer Science at Southeast University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Auburn University
English, Chinese