About

SkinSim is a statistical modeling project focused on human skin reflectance spectra by Junhui He, Jian Kang, and Tina Lasisi.

1 Data foundation

• Real data: ISSA (International Skin Spectra Archive).
• Simulated data: biophysical skin models and Monte Carlo-based spectra.

2 Workflow

This website follows a reproducible, analysis-first workflow:

• analysis/: qmd files for analysis reports.
• notebooks/: ipynb files for data processing, modeling, and visualization.
• code/: reusable scripts and modeling utilities.
• data/: source and intermediate datasets.
• docs/: project documentation and references.

3 Methods in this project

• Descriptive statistics to summarize the reflectance data.
• Reflectance spectrum filter to classify realistic skin reflectance spectra from synthetic ones.
• Shape analysis to explore the relationship between skin properties and reflectance shapes.
• Bayesian varying coefficient models to investigate the effects of skin parameters on skin reflectance.

4 Reproducibility

The project is built with Quarto and supports both R and Python so analyses can be rendered and shared consistently as a versioned website.