Hi, I’m
Janice (Yibing) Jiang
Summary
I am a statistics student with strong R programming skills, research experience in public health, and a growing interest in applying quantitative methods to real-world challenges.
Overview
2
years of professional experience
Work History
University of Illinois, Urbana-Champaign
Undergraduate Research Assistant
03.2025 - Current
Job overview
- Use Python for spatial-transcriptomic analysis of 230 post-mortem human brain samples across three cortical regions (CR, PFC, VC) to investigate C1Q-mediated immune regulation in aging and Alzheimer’s disease.
- Performed exploratory data analysis and demographic stratification to identify confounding effects of age and gender on C1Q gene expression, followed by transcriptome-wide residualization using linear modeling.
- Identified C1QA, C1QB, and C1QC co-regulators via Pearson correlation and visualized region-diagnosis-C1Q specific networks using correlation heatmaps.
- Executed gene ontology enrichment analysis of C1Q-centered networks, revealing a shift from adaptive immune regulation in controls to complement activation and neutrophil-associated inflammation in AD.
Beijing Food Inspection and Research Institute
Research Intern
09.2024 - 01.2025
Job overview
- Analyzed over 1 million vegetable inspection records to investigate dynamic food safety risk factors and enhance regulatory precision and scientific validity.
- Used R to conduct stratified sampling, feature engineering, and explorative data analysis.
- Constructed Elastic Net, Random Forest, and XGBoost models; fine-tuned hyperparameters with 10-fold crossvalidation; identified Random Forest as the optimal choice with 85% AUC score.
- Analyzed feature importance on high-risk factors annually; revealed the evolution of stable long-term factors, dynamic changes, and emerging high-risk factors.
- Completed an academic poster summarizing research results.
Key Lab of Food Safety
Research Intern
07.2023 - 02.2024
Job overview
- Participated in the project of "Research on the Distribution Law of Higenamine".
- Developed dashboards using Tableau to visualize quarterly food sampling results, providing the team with clear indicators and trends.
- Utilized R to conduct multidimensional statistical analyses on higenamine content in samples of pepper, Sichuan pepper, and bay leaves; used R ggplot2 to visualize the result.
- Utilized ArcGIS to create multidimensional national distribution maps of higenamine mean and median values; used MySQL to build a database of higenamine distribution across different species and regions.
- Compiled a ~20-page research report, adopted by suppliers of athlete catering.
Education
University of California, Santa Barbara (UCSB)
Bachelor of Science from Actuarial Science
06.2026
University Overview
- Graduate Level Course: Machine Learning, Time Series, Statistical Data Science, Uncertainty Quantification
- Undergraduate Level Course: Regression, Experiment Design, Risk Theory, Stochastic Process, Linear Algebra, Differential Equations
- GPA: 3.91/4.0
Skills
- R
- Python
- Excel
- SQL
- Tableau
Timeline
Undergraduate Research Assistant
University of Illinois, Urbana-Champaign
03.2025 - Current
Research Intern
Beijing Food Inspection and Research Institute
09.2024 - 01.2025
Research Intern
Key Lab of Food Safety
07.2023 - 02.2024
University of California, Santa Barbara (UCSB)
Bachelor of Science from Actuarial Science
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