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Curriculum Vitae

  1. Name: Jeroen C.L. Ooms
  2. Birth: 17-06-1985
  3. Nationality: Dutch
  4. Residence: Los Angeles, CA

Education/Jobs

2010-2014

  • Data Scientist / Statistical Consultant / Freelance developer.
  • PhD candidate at UCLA dept. of Statistics.

2009-2010: Visiting scholar at UCLA department of statistics

  • Studying work of Jan de Leeuw.
  • Development of R web applications for statistical education.

2007-2009 M.S. Methodology and Statistics, Utrecht University (GPA 4.0; Cum Laude)

  • Courses: Mathematical Statistics, programming in R, Psychometrics, Multivariate Analysis, Categorial Data Analysis, SEM, Multilevel, Research Design, Consultancy, etc.
  • Thesis subject: The Highest Posterior Density Posterior Prior for Bayesian Model Selection.
  • Extracurricular: Development of Webapplications, publication in Stat. Med.

2008-2009 Job as Student Assistent for prof. J. Hox and prof E. de Leeuw.

  • Teaching some 2nd year's statistics classes, correcting exams.
  • Creating multilevel instruction video's.
  • Simulation research with MPlus

2004-2007 B.S. Psychology, Utrecht University

  • Additional minors: Artificial Intelligence, Management & Organization.
  • Additional courses: Imperative Programming, Algorithms & Datastructures, Logic for AI, (mostly Java related).

2003-2004 Industrial Design, University of Technology Eindhoven

  • Engineering, Mathematics, Programming, etc

1997-2003 Gymnasium, Juvenaat Bergen op Zoom

  • Profile: Nature & Technology (Math, Physics, Chemistry)
  • Extra courses: Economy, Latin

Publications

  • van Buuren S, Ooms JCL (2009). Stage line diagram: An age-conditional reference diagram for tracking development. Statistics in Medicine, 28(11), 1569-1579. DOI: 10.1002/sim.3567. [pdf]
  • Ooms, JCL (2009). The Highest Posterior Density Posterior Prior for Bayesian Model Selection. Master thesis, Utrecht University public library. [pdf]

Software

  • yeroon.net/ggplot2: an R web application for online graphical exploratory analysis. [url]
  • yeroon.net/lme4: an R web application for online random effects modeling. [url]
  • stockplot: an R web application for stock predictions. [url]
  • irttool.com: an R web application for online IRT analysis. [url]

Recent Talks

  • (12/03/2009, Los Angeles, USA) LA R User Group: random effects modeling in lme4. [url] [code]
  • (11/24/2009, Los Angeles, USA) UCLA Seminar in Statistics: Web development with R. [url] [pdf]
  • (07/09/2009, Rennes, FR) user! 2009: IRTtool.com: Building web applications with R. [url] [pdf]

Knowledge/Skills

  1. The Basics: PHP, MySQL, LaTeX.
  2. A Bit More: Java, Linux, CSS.
  3. Pretty good: R, javascript, TCP/IP, Windows.
  1. TOEFL score (English proficiency): 114/120 (95%).

References

References available upon request.