Professor Irizarry also dedicates his time providing service to the profession.
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He shares the material for these courses through textbooks that are freely available online and reproducible code through GitHub. These courses are divided into three series: Professional Certificate in Data Science, Data Analysis for the Life Sciences and Genomics Data Analysis. He has also developed some of the most popular online courses on data analysis, which have been completed by tens of thousands of students.
This is best demonstrated by the success of the numerous trainees he has mentored. Professor Irizarry’s is also dedicated to education.
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His widely downloaded software tools have helped him become one of the most highly cited scientist in his field. He has distinguished himself by disseminating statistical methodology as open source software shared through the Bioconductor Project, a leading open source and open development software project for the analysis of high-throughput genomic data. Specifically, he has worked on the analysis and signal processing of data generated by emerging high-throughput technologies. His main focus during the last two decades has been in Genomics. During his career he as worked and co-authored papers on a variety of topics including musical sound signals, infectious diseases, circadian patterns in health, fetal health monitoring, estimating the effects of Hurricane María in Puerto Rico, and COVID19 vaccine effectiveness. Professor Irizarry is an applied statistician generally interested in using data to help solve read-world problems. He is now Professor and Chair of the Department of Data Science at the Dana-Farber Cancer Institute and Professor of Biostatistics at Harvard School of Public Health.
He joined the faculty of the Johns Hopkins Department of Biostatistics in 1998 and was promoted to Professor in 2007.
His thesis work was on Statistical Models for Music Sound Signals. in Statistics in 1998 from the University of California, Berkeley. Rafael Irizarry received his Bachelor’s in Mathematics in 1993 from the University of Puerto Rico and went on to receive a Ph.D.