Curriculum Vitae
ELVIS HAN CUI
One trajectory, many scales.
Connecting statistics and the life sciences through rigorous inference.
Current appointment
Hangzhou, China
Westlake University
Postdoctoral Researcher · Qian Lab
Center for Interdisciplinary Studies, School of Science. Working with Professor Hong Qian on statistical inference, stochastic dynamics and quantitative biology.
Developing reproducible workflows for parameter estimation, molecular diffusion and hidden-state dynamics using fluorescence correlation spectroscopy and photon-counting data.
Education
2020 · M.S.
University of California, Los Angeles
Biostatistics
Ph.D. dissertation: Nature-inspired Metaheuristics for Biostatistical and Biomedical Research. Advisors: Weng Kee Wong and Gang Li.
Zhejiang University
Bachelor’s degree · Applied Bioscience
Research & industry
Westlake University
Visiting Scholar · Hong Qian’s Group
Developed Python workflows for FCS photon-counting analysis, estimation and visualization; explored stochastic and semi-Markov models of molecular dynamics.
IQVIA · Kuntuo, cFSP
Senior Statistician
Worked on AI-assisted protocol-to-CSR workflows, with applications in metabolic clinical research and real-world evidence.
Mar 2026
Hengrui Pharmaceuticals
Associate Manager of Biostatistics
Supported Phase I–III oncology and metabolic development programs; contributed to retrieval-augmented workflows and evidence synthesis for clinical development.
Jul 2025
University of California, Irvine
Senior Statistician · Department of Neurology
Conducted statistical analyses for Alzheimer’s disease biomarker and clinical research, including subgroup and target analyses. Developed statistical sections, study protocols and power analyses for grant proposals.
Sep 2024
University of California, Los Angeles
Graduate Student Researcher · Biostatistics
Investigated adaptive trial design, toxicological experimental design, Bayesian modeling and optimization for multimodal data.
Novartis
Biostatistician Intern · Early Development Analytics
Developed and quality-controlled CDISC-aligned ADaM datasets for proof-of-concept study analysis.
Aug 2021
Zhejiang Lab
Artificial Intelligence Researcher
Studied representation learning and few-shot learning for multimodal data.
Methods & tools
- Statistics & scientific inferenceClinical trial design, survival analysis, optimal experimental design, stochastic and semi-Markov models, FCS and biophysical data.
- Scientific computingPython, R, SQL, Linux/Unix and Git; reproducible analysis, testing and visualization.
- AI & research workflowsLLM applications, retrieval-augmented generation, vector search, agent-assisted workflows and scientific optimization.
- Software engineeringREST APIs, CI/CD, Docker and cloud-based workflows.
Journal articles, conference papers and preprints are maintained in the publication catalog, with their individual status and source links.
Selected honors
- Dissertation Year Fellowship · UCLA
- Irma Polaski Fellowship · UCLA Fielding School of Public Health
Updated September 2026. Use “Print / Save as PDF” above for a current copy. Historical teaching appointments are listed in the teaching archive.