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Author’s Biographical Sketch
Dr. Norm Matloff is a professor of computer science at the University of California at Davis, and was
formerly a professor of statistics at that university. He is a former database software developer in Silicon
Valley, and has been a statistical consultant for firms such as the Kaiser Permanente Health Plan.
Dr. Matloff was born in Los Angeles, and grew up in East Los Angeles and the San Gabriel Valley. He has
a PhD in pure mathematics from UCLA, specializing in probability theory and statistics. He has published
numerous papers in computer science and statistics, with current research interests in parallel processing,
statistical computing, and regression methodology.
Prof. Matloff is a former appointed member of IFIP Working Group 11.3, an international committee
concerned with database software security, established under UNESCO. He was a founding member of
the UC Davis Department of Statistics, and participated in the formation of the UCD Computer Science
Department as well. He is a recipient of the campuswide Distinguished Teaching Award and Distinguished
Public Service Award at UC Davis.
Dr. Matloff is the author of two published textbooks, and of a number of widely-used Web tutorials on
computer topics, such as the Linux operating system and the Python programming language. He and Dr.
Peter Salzman are authors of The Art of Debugging with GDB, DDD, and Eclipse. Prof. Matloff’s book
on the R programming language, The Art of R Programming, was published in 2011. His book, Parallel
Computation for Data Science, came out in 2015. His current book project, From Linear Models to Ma-
chine Learning: Predictive Insights through R, will be published in 2016. He is also the author of several
open-source textbooks, including From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in
Computer Science (http://heather.cs.ucdavis.edu/probstatbook), and Programming on
Parallel Machines (http://heather.cs.ucdavis.edu/
˜
matloff/ParProcBook.pdf).
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