CV
Education
University of Michigan – Ann Arbor
Master of Science in Biostatistics, Expected May 2026
University of Illinois Urbana-Champaign
Bachelor of Science in Statistics, Minor in Economics, Aug 2021 – May 2024
GPA: 3.70/4.00
Relevant Coursework
- Applied Linear Algebra
- Data Management
- Statistics Programming
- Advanced Data Analysis
- Statistics and Probability
- Unsupervised Learning
- Statistical Modeling
- Nonparametric Test
- Longitudinal Data Analysis
Work Experience
Data Analyst Intern Overseas Consulting Ltd., Beijing, China - May 2025 - August 2025
- Analyzed GDP, CPI, and livelihood data in Excel and Python; built a 30+ indicator visualization model and applied ARIMA forecasting to support a 15-year economic planning initiative.
- Coordinated 3 cross-functional teams and monitored 20+ key project data, leveraging Excel automation to streamline reporting workflows and improve overall team efficiency by 18%.
- Supported automotive business plan development by gathering competitor data and performing Excel-based comparative analysis of 8+ new energy vehicle models (price, market share), improving market share forecast accuracy by 15%.
Credit Operations Intern
Hangzhou Bank Co., Ltd., Beijing, China — June 2021 – August 2021
- Assessed 20+ clients through industry analysis and prepared evaluation reports identifying high-value segments
- Utilized SQL to clean and validate credit data, enhancing data accuracy by 10% and optimizing reporting workflow
- Analyzed 5-year income trends and identified distributional biases to support strategic decisions, reflecting strong analytical skills
Research Experience
Differential Analysis of Normal and Tumor Cancers in the Kidney
Institute of Biophysics, Chinese Academy of Sciences — Beijing, China (May 2023 – Aug 2023)
- Cleaned 3,000+ raw kidney cancer samples in R; found WNK4 as most significant gene
- Used Cytoscape + edgeR for analysis and visualization across multiple algorithms
- Validated findings via qPCR and immunofluorescence on mouse bone marrow mesenchymal cells
Projects
Qualitative Analysis & Visualization Consulting (Dec 2025)
- Performed thematic analysis on open-ended survey responses from students, mentors, and families to identify core program strengths and community needs
- Developed a series of Word Cloud visualizations to transform unstructured text data into high-impact visual summaries of stakeholder sentiment
- Extracted key thematic trends regarding academic growth and social-emotional development to provide leadership with a data-driven understanding of the “human voice” within the program
COVID-19 Case and Excess Mortality Analysis (Apr 2025)
- Analyzed CDC datasets to quantify COVID-19 case and excess mortality across 3 U.S. pandemic waves.
- Built time-series visualizations, estimated CFR, and mapped state-level mortality disparities.
- Validated linear, LOESS, and spline models, showing nonlinear methods improved predictions.
Pneumonia Patient Condition Classification using Diffusion Models & CLIP (Dec 2024)
- Fine-tuned CLIP for pediatric X-ray classification: normal, bacterial, viral pneumonia
- Applied LoRA + Stable Diffusion to address class imbalance with synthetic images
- Boosted training accuracy from 48.94% → 50.51%, and evaluated test robustness
Hypertension & Alcohol Consumption Analysis using NHANES (Dec 2024)
- Modeled effect of alcohol on SBP controlling for age, BMI, gender
- Found significant increase in SBP per drink/day and a slight negative age-alcohol interaction
Student Performance in R (2014 Secondary Dataset) (May 2024)
- Explored socioeconomic impact on education via statistical models + clustering
- Led team of 3 to deliver a 15-page analysis report with rich visualizations
U.S. Presidential Voting Project (Feb 2023)
- Processed 60,000+ vote records from all 51 states using Mixture Models
- Created 28 plots to summarize voter patterns and anomaly detection
Billboard Music Shiny App Project (Sep 2022)
- Built an R Shiny dashboard for interactive Billboard chart analysis
- Used API to fetch real-time data; visualized trends in genre & artist popularity
Technical Skills
Languages: English (Advanced), Mandarin (Native)
Skills: Excel (Advanced), Python (Advanced), R (Advanced), SQL (Median), C++ (Median),
GSEA, Cytoscape, Western Blot, qPCR