Rafael Irizarry
Chair And Professor at Dana-Farber Cancer Institute
Boston, Massachusetts, United States
Summary
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Rockstar🎓
Top SchoolRafael Irizarry is a Chair and Professor at Harvard and Dana-Farber with over a decade of experience at the interface of statistics, genomics, and computational biology. He pioneered widely used open-source tools for genomic data analysis as a founder and leader of the Bioconductor Project and develops reproducible teaching resources used in HarvardX courses. His research spans signal processing of microarray and next-generation sequencing data to translational biomarker discovery, and his software and methods have influenced both research and clinical workflows. A COPSS Presidents’ Award and Benjamin Franklin Award laureate, he combines rigorous statistical theory from his UC Berkeley PhD with practical data-science teaching—his GitHub contributions include core educational repositories that power genomics and data science instruction. An engaging communicator, he packages complex statistical ideas into accessible courses, books and code that have trained thousands worldwide.
12 years of coding experience
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of California, BerkeleyBachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of Puerto Rico, Río Piedras
Github Skills (11)
data-wrangling10
bioinformatics10
statistical-models10
data-science10
r10
data-analysis10
data-visualisation9
data-visualization9
data-visualizations9
statistics9
bookdown8
Programming languages (6)
Github contributions (5)
rafalab/dsbook
Nov 2017 - Dec 2022
Repository for data science book
Role in this project:
Data Scientist
Data ScientistContributions:3 reviews, 418 commits, 90 PRs in 5 years 1 month
Contributions summary:Rafael added chapters to a data science book, focusing on R basics, including data types, vectors, sorting, and basic data wrangling. Their commits added content and structured the book's layout, demonstrating a focus on foundational programming skills for data analysis. The contributions indicate a clear understanding of the statistical principles being taught within the book.
pythonsciencedata-sciencemachine-learningdata-manipulation
genomicsclass/labs
Jan 2014 - Mar 2021
Rmd source files for the HarvardX series PH525x
Role in this project:Data Scientist
Data ScientistContributions:369 commits, 2 PRs, 257 pushes in 7 years 3 months
Contributions summary:Rafael contributed to the development of R scripts for data analysis and statistical modeling within the genomics class repository. Their work included creating datasets, exploring microarray data, and generating animated GIFs for visualizing central limit theorem concepts. The user also implemented scripts for methylation data analysis, and creating tables for homework assignments and created new scripts to create subsets of datasets, demonstrating data manipulation and analysis skills.
biocondarmdharvardxsource-files
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