(Updated July 30, 2018)

Norman MatloffDepartment of Computer Science

University of California, Davis

matloff@cs.ucdavis.edu

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*JRSS C*. - 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 ever since.
- 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 Data Engineering*, the*IEEE Trans. on Reliability*,*Microelectronics and Reliability*, 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. -
My book,
*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 useR! 2016, sponsored by the Stanford University Statistics Dept.
- I teach probability and statistics in the CS Dept., in ECS 132 and 256.
- My current projects in mainstream statistics include: