Jason Wilson | People, Biola University

Department	Department of Math and Computer Science
Biola Affiliations	Faculty
Office Location	Lim Center 133
Website	https://sites.google.com/a/biola.edu/jasonwilson/

Documents

Degrees

Ph.D., University of California, Riverside
M.A., California State University, Fullerton
M.A., Biola University
B.S., Biola University
B.A., Biola University

Biography

Jason Wilson joined the Biola faculty in 2008 after receiving his Ph.D from the University of California, Riverside. His calling in life is to disciple students and this is his guiding principle as he seeks to teach, research, and serve as a professor for the glory of God. In graduate school he extended the probability of correct selection (PCS) statistic to high dimensional data and was able to successfully apply it to microarrays in genetics. Since coming to Biola he has focused more on undergraduate research, which has included publications on Yahtzee probabilities and the analysis of curveballs. Recently, he has begun focusing his writing on the integration of the Christian faith and mathematics/statistics. In other outlets - Jason enjoys statistical consulting and has worked on jobs at individual, business, state, and national levels. He is active in professional mathematical and statistical societies. Above all these, Jason enjoys talking and praying with students whether on campus or in his home. He lives with his wife and two daughters in Whittier, CA.

Affiliations

American Statistical Association
Institute of Mathematical Statistics
Association of Christians in the Mathematical Sciences

Publications (Selected)

Please see the publications listed on my homepage

Presentations

Statistical Computing: A Language or Graphical User Interface?, with Daniel Kaplan, Electronic Con- ference On Teaching Statistics (eCOTS), May 2012
Curveball Quantification: Standardization of Breaking Pitches for Baseball, Joint Statistics Meetings, Aug 2011
The Laws of Nature in the Secular vs. Biblical Mind
- Association of Christians in the Mathematical Sciences Conference, June 2011
- Math Department Chapel, Biola University, Fall 2011
A Comprehensive Probability Project for the Upper Division One-Semester Probability Course Using Yahtzee, Joint Statistical Meetings: Aug 2010.
What is the probability of selecting the best t of k populations when k is extremely large?
- Statistics/Operations Research/ Masterís in Finance Seminar; The Claremont Colleges: Jan 2010
- Statistics Department Colloquium; The Ohio State University: Jan 2008.
A Note on the Probability of Correct Selection for Large k Populations, with Application to Microarray Data, New Researchers Conference, Aug 2009.
Evidence that Oligonucleotide Expression Values are Not Normally Distributed (Poster), Joint Statis- tical Meetings: Aug 2009.
How can a biologist use a recent biotechnology to select the di§erentially expressed genes from a study? An application of mathematics and statistics;
- Math and Statistics Department Colloquium; Cal Poly Pomona: Feb 2009
- Statistics Department Colloquium; Cal Poly San Luis Obispo: Feb 2008
- Math Department Colloquium; Northern Kentucky University Colloquium: Jan 2008
Ordinal Data: A Statisticianís View of the State of the Art. Psychology Department Colloquium; California Baptist University: March, 2008.
Transformed Microarray Data are NOT Normally Distributed; Statistics Department Colloquium; UC Riverside: Oct 30, 2007.
On the Probability of Correct Selection for Large k Populations, with Application to Microarray Data
- 8th International Conference on Systems Biology: Workshop: Gene Co-Expression Network Analysis and its Applications in Systems Biology; Long Beach, CA: Oct 5, 2007.
- Center for Plant Cell Biology Colloquium; UC Riverside: Sep 28, 2007.
On the Probability of Correct Selection for Large k Populations, with Application to Microarray Data, Joint Statistical Meetings: Aug 1, 2007
Everything a Grad Student Needs to Know to Begin Creating Professional Documents [in LaTeX]: Homework, Reports, Slides, Articles, and Dissertations; Statistics Club; UC Riverside: Jan 7, 2007.