Raymond R. Balise began typing in the 8th grade. He mastered both pointing and clicking with a mouse using the very first Macintosh computer as a freshman in college. Between his sophomore and junior years in college, he got his own Mac and began doing data analysis on a state-of-the-art 20 MB hard drive. After completing his PhD in Experimental Psychology from the University of Texas, he applied his elite typing skills to teaching and doing research on gene/environment interactions in cancer at Stanford University. During his 17 years there, he was an award-winning lecturer who developed and taught HRP 223 Data Management and Statistical Programming. He joined the University of Miami in 2014. At UM, he has taught Survey of Statistical Computing, Medical Biostatistics, Case Studies in Biostatistics, Data Science and Machine Learning, and Software Tools for Manuscript Development and Reproducible Research. He has also applied his masterful typing to a book, Presenting Medical Statistics from Proposal to Publication, and more than a hundred peer-reviewed publications and refereed presentations in topics ranging from phonetics to obstetrics, dyspepsia to dyslexia and health disparity to brachytherapy. In his spare time he: coded up the R software packages tidyREDCap, rUM, and DOPE and wrote a R compendium to go with the third edition of Agresti’s Introduction to Categorical Data Analysis. Now you can often find him with fingers on a keyboard looking at computer monitors showing HIV, substance abuse or health disparity data.