Haidong Yi is a PhD candidate in Computer Science at UNC Chapel Hill with nine years of experience in machine learning and deep learning research, specializing in time-series and set-structured data such as point clouds and single-cell RNA-seq. As a graduate research assistant he developed Exchangeable Neural ODEs (genAI) and applied novel kernel mean embedding and convex optimization techniques to improve tabular and bi-clustering analyses, with work published in venues including NeurIPS and ACM BCB. He combines strong theoretical foundations with practical algorithm engineering—implementing ADMM solvers and a deep learning HMM for music data—to demonstrate models on real-world datasets. Based in New Jersey, Haidong is extending his academic impact toward applied internships and collaborations that translate cutting-edge research into usable tools.
9 years of coding experience
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at 南开大学
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at 美国北卡罗来纳大学教堂山分校
AcrFinder, a tool for automated identification of Acr-Aca loci
Contributions:105 commits, 4 PRs, 46 pushes in 10 months
pythonacridentificationlociacr-aca
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