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Learn about Data Visualization Principles with Rafael Irizarry, PhD, Professor and Chair at the Department of Data Science, Dana-Farber Cancer Institute and Department of Biostatistics, Harvard T.H. Chan School of Public Health. Professor Irizarry is an applied statistician generally interested in using data to help solve real-world problems. 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. His main focus during the last two decades has been in Genomics. Specifically, he has worked on the analysis and signal processing of data generated by emerging high-throughput technologies. 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. His widely downloaded software tools have helped him become one of the most highly cited scientist in his field. Our #DataScience Training Sessions offer hands-on training in #statistics, #computationalbiology and #machinelearning by experts at the Department of Data Science at Dana-Farber Cancer Institute.