Curriculum Vitae

ELVIS HAN CUI

One trajectory, many scales.
Connecting statistics and the life sciences through rigorous inference.

Current appointment

Current
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

2024 · Ph.D.
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.

2018

Zhejiang University

Bachelor’s degree · Applied Bioscience

Research & industry

Jul 2026

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.

Apr – Jun 2026

IQVIA · Kuntuo, cFSP

Senior Statistician

Worked on AI-assisted protocol-to-CSR workflows, with applications in metabolic clinical research and real-world evidence.

Sep 2025 –
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.

Oct 2024 –
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.

Jan 2022 –
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.

Jun – Oct 2022

Novartis

Biostatistician Intern · Early Development Analytics

Developed and quality-controlled CDISC-aligned ADaM datasets for proof-of-concept study analysis.

Sep 2020 –
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.