Wenjing Liu
Columbus,OH
Summary
Master’s student in Biostatistics with training in clinical and biomedical research, statistical analysis, and reproducible data workflows. Experienced in integrating complex health datasets, evaluating quantitative methods, and synthesizing research findings for applied decision-making. Familiar with systematic literature review principles, PRISMA-based screening workflows, and translating scientific evidence into structured summaries and actionable research insights.
Overview
5
5
years of professional experience
Work History
Master’s Thesis Research – Longitudinal DNA Methylation and Cognitive Decline (ADNI)
Division of Biostatistics, College of Public Health, The Ohio State University
06.2025 - Current
- Analyzed longitudinal clinical and biomarker data to investigate cognitive decline trajectories and identify predictive epigenetic features in Alzheimer’s disease research.
- Built end-to-end reproducible analysis pipelines for data cleaning, feature screening, model evaluation, validation, and structured reporting.
- Compared analytic strategies for high-dimensional biomarker research and synthesized results to identify robust signals, methodological limitations, and practical implications.
- Communicated findings through written summaries and presentations to support ongoing research interpretation and decision-making.
- Advisor: Dr. Fernanda L. Schumacher
Student Assistant – Clinical & Epigenetic Data Analysis (Multiethnic Cohort)
Division of Environmental Health Science, College of Public Health, The Ohio State University
05.2025 - Current
- Integrated high-dimensional DNA methylation, demographic, and clinical data to create structured analytic datasets for population health research.
- Applied statistical and machine learning methods, including Random Forest and Elastic Net, to identify biomarker patterns associated with metabolic risk.
- Interpreted analytic findings in collaboration with research mentors, emphasizing biological relevance and population-specific patterns.
- Contributed to reproducible research workflows and advanced from volunteer to funded role based on independent analytic contributions.
- Advisor: Dr. Min-Ae Song
Student Assistant – Simulation-Based Method Evaluation
Division of Biostatistics, College of Public Health, The Ohio State University
09.2024 - 05.2025
- Designed simulation-based workflows to compare analytic methods under varying correlation structures and noise conditions.
- Evaluated model performance, robustness, and computational tradeoffs using quantitative metrics to support method selection in applied research settings.
- Summarized and presented findings in structured formats to inform methodological decision-making.
- Strengthened skills in critical evaluation, comparative analysis, and interpretation of statistical evidence.
- Advisor: Dr. Fernanda L. Schumacher
Undergraduate Research Assistant – CRISPR/Cas9 Genome Editing
Shanghai Normal University
10.2021 - 03.2023
- Contributed to laboratory-based biomedical research involving CRISPR/Cas9 genome editing, experimental documentation, and data collection.
- Maintained detailed records of research procedures and outcomes to support reproducibility and team communication.
- Collaborated with research team members to summarize experimental procedures and findings for downstream interpretation.
Undergraduate Research Project Lead – Genetics
Shanghai Normal University
10.2021 - 03.2022
- Led an undergraduate research project examining gene-gene interactions affecting yield-related traits.
- Coordinated experimental planning, data summarization, and communication of interdisciplinary findings.
Education
M.S. - Biostatistics, College of Public Health
The Ohio State University
Columbus, OH04-2026
B.S. - Biotechnology, College of Life Sciences
Shanghai Normal University
Shanghai, China05-2023
Skills
- Systematic literature review principles and PRISMA-based screening workflows
- Evidence synthesis and structured research summarization
- Statistical analysis and interpretation of clinical and biomedical data
- Longitudinal and high-dimensional data analysis
- Study design evaluation, results interpretation, and scientific communication
- Reproducible analytic workflows and structured reporting
- R, SAS, Stata, Excel
- Data cleaning, integration, visualization, and reproducible reporting
- Longitudinal mixed models, penalized regression, simulation studies, and machine learning
- Familiar with systematic review workflows, study screening, and evidence organization tools, including Covidence
Timeline
Master’s Thesis Research – Longitudinal DNA Methylation and Cognitive Decline (ADNI)
Division of Biostatistics, College of Public Health, The Ohio State University
06.2025 - Current
Student Assistant – Clinical & Epigenetic Data Analysis (Multiethnic Cohort)
Division of Environmental Health Science, College of Public Health, The Ohio State University
05.2025 - Current
Student Assistant – Simulation-Based Method Evaluation
Division of Biostatistics, College of Public Health, The Ohio State University
09.2024 - 05.2025
Undergraduate Research Assistant – CRISPR/Cas9 Genome Editing
Shanghai Normal University
10.2021 - 03.2023
Undergraduate Research Project Lead – Genetics
Shanghai Normal University
10.2021 - 03.2022
B.S. - Biotechnology, College of Life Sciences
Shanghai Normal University
M.S. - Biostatistics, College of Public Health
The Ohio State University
CONFERENCE PRESENTATIONS
- Liu, W.
- & Schumacher, F. (2025). Impact of Ignoring Correlation in Variable Selection: A Simulation Study Using LASSO. Joint Biostatistics Symposium, Cleveland, OH.
- & Schumacher, F. (2025). Evaluating Variable-Selection Methods for Longitudinal DNA Methylation Data: The Impact of Ignoring Within-Subject Correlation. Women in Statistics and Data Science Annual Conference, Cincinnati, OH.
RELEVANT COURSEWORK
Applied Biostatistics I; Applied Biostatistics II; Principles of Epidemiology; Intro to SAS; Machine Learning; Theory of Statistical Analysis; Meta-Analysis