Department of Industrial and Systems Engineering, Texas A&M University
3021 Emerging Technologies Building, College Station, TX, 77843-3131
Ph.D., Industrial and Systems Engineering, Texas A&M University.
(September 2011- Present)
M.S., Management Science and Engineering, Stanford University.
(September 2008- July 2009)
B.S., Industrial and Systems Engineering, ITESM Monterrey, Mexico.
(August 2003- December 2007)
Modeling Specialist, Cal y Mayor y Asociados, Mexico City, Mexico
(July 2009 – June 2011)
Manufacturing Analyst, Nemak, Monterrey, Mexico
（May 2008 – August 2008)
Productivity and Efficiency Analysis related
Management Science related
- Bayesian Stochastic Frontier Analysis
- State-contingent production
- Bayesian shape-constrained estimation
- Robust convex nonparametric regression for survey datasets
- Performance Metrics
- Business Analytics and Optimization
- Applied Decision Analysis
Mention to excellence (highest undergraduate honors) at ITESM Monterrey
Stanford Alumni, Monterrey Chapter, Scholarship for Engineering Masters degrees
Preciado Arreola, J.L. and A.L. Johnson. "Convex Adaptively Partitioned Least Squares". Working Paper
Preciado Arreola, J.L. and A.L. Johnson. "Estimating Stochastic Production Frontiers: A One-stage Multivariate Semi-Nonparametric Bayesian Concave Regression Method". Working Paper available at Arxiv
Preciado Arreola, J.L. and A.L. Johnson. "A Birth-Death Markov Chain Monte Carlo Method to Estimate the Number of States in a State-Contingent Production Frontier Model". American Journal of Agricultural Economics, Accepted 09/2014.