Draft:Elvis Han Cui

  • Comment: Even for a WP:NACADEMIC pass, sources other than papers authored by the subject are required. ScalarFactor (talk) 21:14, 8 February 2026 (UTC)


Elvis Han Cui

Elvis Han Cui is a biostatistician whose research focuses on statistical methodology, optimal experimental design, and the integration of metaheuristic optimization algorithms into statistical inference.[1] He received his Ph.D. in Biostatistics from the University of California, Los Angeles (UCLA).[2]

His academic work spans areas including survival analysis, statistical learning, and computational optimization, with particular emphasis on applying nature-inspired metaheuristic methods—such as swarm-based and evolutionary algorithms—to challenging problems in experimental design and high-dimensional data analysis. His research has been published in peer-reviewed journals across statistics and bioinformatics, including work on modeling gene expression trends along cell pseudotime in single-cell data.[3]

References

  1. ^ Cui, Elvis Han (2024). Nature-inspired Metaheuristics for Biostatistical and Biomedical Research (PhD dissertation). University of California, Los Angeles.
  2. ^ Cui, Elvis Han (2024). Nature-inspired Metaheuristics for Biostatistical and Biomedical Research (PhD dissertation). University of California, Los Angeles.
  3. ^ Cui, Elvis Han; Song, Dongyuan; Wong, Weng Kee; Li, Jingyi Jessica (2022). "Single-cell generalized trend model (scGTM): a flexible and interpretable model of gene expression trend along cell pseudotime". Bioinformatics. 38 (16): 3927–3934. doi:10.1093/bioinformatics/btac456.

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