Norm Matloff's Statistics Bio
(Updated July 30, 2018)
Department of Computer Science
University of California, Davis
I sometimes am asked about my "unusual background," combining Statistics
and Computer Science (CS). Below is my history in that regard. See also
my full bio.
- I was one of the 7 original
founding members of the UC Davis Department of Statistics, which was
a spinoff from the Math Dept. The Stat Dept. was established after I had
been in Math for 4 years, as an Assistant Professor.
- In the Stat Dept.,
I taught undergrad courses in math stat, regression analysis,
multivariate analysis (classical version), reliability methods and
statistical computing, and taught the grad course in linear models.
In the Math Dept., I also taught a course in stochastic processes.
- My early career publications included stat
journals such as the Annals of Probability, Biometrika,
Statistics and Probability Letters and
- The year the Stat Dept. was formed, I spent a year in
Silicon Valley, working on database systems. When I returned to the
university, I was given a joint appointment in Stat and Electrical and
Computer Engineering, majority in Stat, with the understanding that I
would eventually be majority in ECE. Four years later a CS Dept. formed, and I
joined that. Unfortunately, the administration did not want to continue
a joint appointment for me, but I have continued to work in statistics
- My statistical work has appeared in CS
outlets such as the ACM Trans. on Database Systems, the ACM
Trans. on Modeling and Computer Simulation, the IEEE Trans. on
the IEEE Trans. on Reliability, Microelectronics and
the IEEE Transactions on Knowledge and Data Engineering,
Performance Evaluation and so on.
- In the last few years, my work in statistical computing has been
recognized through presenting invited papers at Interface 2012:
the Future of Statistical Computing; userR! 2012; JSM 2013; and GTC 2016
(GPU computing). I will give a keynote address at useR! 2017 in Brussels
in July 2017, and will present another invited paper in the Small Area
Estimation conference in Paris, also in July.
- My book, Parallel Computation for Data Science, was
published by Chapman and Hall in 2015.
Statistical Regression and Classification: from Linear Models to
Machine Learning, published by Chapman and Hall in 2017, was
selected for the Ziegal Award of 2017.
- I am on the editorial boards of the
Journal of Statistical Software and the R Journal, and
was on the organizing committee of
sponsored by the Stanford University Statistics Dept.
- I teach probability and statistics in the CS Dept., in ECS 132 and
- My current projects in mainstream statistics include: