Gaston Sanchez

Gaston Sanchez is a Continuing Lecturer in the College of Computing, Data Science, and Society (CDSS) affiliated with the Department of Statistics at the University of California, Berkeley. His office is located in 309 Evans Hall, and he teaches various statistics and data science courses including Stat 2, Stat 20, Stat 33A, Stat 33B, Stat 131A, Stat 133, Stat 151A, Stat 154, Stat 159, and Stat 243.

Sanchez's research focuses on data visualization techniques and statistical learning methods. He has particular expertise in:

• Principal Component Analysis (PCA) for Data Science
• Partial Least Squares Path Modeling (PLS-PM)
• Multivariate methods for exploring and analyzing high-dimensional data
• Computational reproducibility in statistical analysis

He is an active contributor to the R programming community, having developed several R packages including plspm, pathmox, plsdepot, and colortools. Sanchez is a strong advocate for open education and has created numerous teaching materials and tutorials available on his website.

His professional activities include:

• Authoring educational materials on statistical learning and data visualization
• Developing R packages for statistical analysis
• Teaching undergraduate and graduate courses in statistics and data science
• Promoting computational reproducibility in research