Allan Quadros

Instructor IS/OM, UNF

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Coggin College of Business, University of North Florida, USA

“In God we trust, all others must bring data.” (W. Edwards Deming)

I’m an Instructor of Operations Management and Information Systems at the Coggin College of Business, University of North Florida, where I teach operations management and data analytics courses. I previously completed my Ph.D. in Statistics at Kansas State University. I’m largely interested in Bayesian modeling, computational statistics, reliability modelling, financial econometrics and their applications.

Prior to graduate school, I spent several years at Brazil’s National Fund for Educational Development, Ministry of Education, where I founded and led the agency’s first data science team, delivering fraud-detection and forecasting systems — including FisFa, credited with over US$50 million in savings to the Brazilian federal government. You can find more about my research interests and publications on my here and here.

I’m active in developing and contributing to open-source software. I created mRpostman, an IMAP client for R selected as one of the top 40 new CRAN packages of August 2019 by RStudio/Posit, and emstreeR, a package for fast computation and visualization of Euclidean minimum spanning trees. Most recently, I released treeSS, the companion R package implementing the tree-spatial scan statistic methodology we introduced in Cançado et al. (2025). I am a reviewer for the Journal of Open Source Software (JOSS) and rOpenSci.

currently

A few things on my desk right now:

  • Course preparations for Fall 2026 : )
  • A Bayesian prior-posterior conflict framework to detecting false positives in cointegration tests (UNF/CCB Advancement Grant, 2026).
  • A methodology to explain and correct classification bias from event histories, with applications in healthcare management (UNF Societal Grant, 2026).
  • treeSS, my new CRAN package for spatial–hierarchical cluster detection.
  • jekylldown, my experimental R package (still in GitHub), with which I created this Jekyll website from within R.

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