Welcome!

I am an Assistant Adjunct Professor at the Department of Statistics at the University of California, Los Angeles. Currently, I am also Junior Postdoctoral Fellow of the Research Foundation Flanders (FWO), Belgium. From July 2018 to September 2019, I was a Postdoctoral Researcher at the Department of Biosystems at KU Leuven, Belgium. In May 2018, I obtained a Ph.D. in Applied Economics at the University of Antwerp, Belgium.

My research interests include:

Optimum Experimental Design
Computer Experiments
Model Selection
Discrete Optimization

I was born and raised in Monterrey, Nuevo Leon, Mexico.

My current email address is alanrvazquez@stat.ucla.edu

Published Papers

Vazquez, A. R., Schoen, E. D., and Goos, P. (2020). A mixed integer optimization approach for model selection in screening experiments. Journal of Quality Technology. Published online.
Goos, P., Syafitri, U., Sartono, B., and Vazquez, A. R. (2020). A nonlinear multidimensional knapsack problem in the optimal design of mixture experiments. European Journal of Operational Research, 281:201-221.
Vazquez, A. R., Goos, P., and Schoen, E. D. (2019). Projections of definitive screening designs by dropping columns: Selection and evaluation. Technometrics, 62:37-47.
Vazquez, A. R., and Xu, H. (2019). Construction of two-level nonregular designs of strength three with large run sizes. Technometrics, 61:341-353.
Vazquez, A. R., Goos, P., and Schoen, E. D. (2019). Constructing two-level designs by concatenation of strength-3 orthogonal arrays. Technometrics, 61:219-232.
Trigos, F., Vazquez, A. R., and C’ardenas-Barrón, L. E. (2019). A simulation-based heuristic that promotes business profit while increasing the perceived quality of service industries. International Journal of Production Economics, 211:60-70.
Eendebak, P. T. and Vazquez, A. R. (2019). OApackage: A Python package for generation and analysis of orthogonal arrays, optimal designs and conference designs. Journal of Open Source Software, 4:1097.
Maestroni, B. M., Vazquez, A. R., Avossa, V., Goos, P., Cesio, V., Heinzen, H., Riener, J., Cannavan, A. (2018). Ruggedness testing of an analytical method for pesticide residues in potato. Accreditation and Quality Assurance, 23:303-316.
Vázquez-Alcocer, A., Garzón, D. L., and Sánchez-Casas, R. M. (2014). LADES: A software for constructing and analyzing longitudinal designs in biomedical research. PLoS ONE 9(7): e100570.

Manuscripts Submited for Publication or In Preparation

Vazquez, A. R., Goos, P., and Schoen, E. D. (2019). Two-level orthogonal screening designs with 80, 96 and 112 runs, and up to 29 factors.
Schoen, E. D., Eendebak, P. T., Vazquez, A. R., and Goos, P. (2020). Systematic enumeration of Definitive Screening Designs.
Schoen, E. D., Vazquez, A. R., Schlösser, J., Atakunda, P., Muhoozi, G. K. M., Wacoo, A. P., Sybesma, W. G. H., Westerberg, A. C., Iversen, P. O., and Kort R. (2020). Model selection by mixed integer optimization discloses the butyrate-producing gut bacterium Coprococcus eutactus as predictor for language development in three-year-old rural Ugandan children.
Staes, I., Bäcker, L. E., Simoens, K., De Winter, K., Marolt, G., Cenens, W., Wolput, S., Vazquez, A. R., Goos, P, Lavigne, R., Bernaerts, K., and Aertsen, A. (2020). Superinfection exclusion factors allow for a history-dependent switch from vertical to horizontal phage transmission.