Norm Matloff's Statistics Bio
Norman Matloff
Department 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 Hath 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.
- 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. Later a CS Dept. formed, and I
joined that.
- I continued to work in statistical issues, publishing stat research 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 and Performance Evaluation.
- 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; GTC 2016
(GPU computing); scheduled to give keynote address at useR! 2017. I
am on the editorial board of the
Journal of Statistical Software. I was on the organizing committee of
useR! 2016,
sponsored by the Stanford University Statistics Dept.
- My monograph, Parallel Computation for Data Science, was
published by Chapman and Hall in 2015.
- I teach probability and statistics in the CS Dept., in ECS 132 and
256.
- My current projects in mainstream statistics include: