Prof. Osval A. Montesinos-López

Osval A. Montesinos-López is a Professor in the Facultad de Telemática at Universidad de Colima, Mexico. He holds a PhD in Statistics and Biometry from the University of Nebraska–Lincoln. His research focuses on genomic prediction, statistical machine learning, and applying advanced quantitative methods to biological sciences. He has taught internationally (Mexico, USA, Brazil, Peru, France, Nigeria, India, among others). 

Current Position:

• Professor, Facultad de Telemática, Universidad de Colima, Colima, Mexico 

Areas of Expertise:

• Genomic prediction models 
• Machine learning applied to biological / genomic data 
• High-dimensional data analysis, multivariate and mixed models 
• Bayesian methods 
• Experimental design and applied statistics in genomics contexts 

Academic Background:

• PhD in Statistics & Biometry, University of Nebraska, USA 
• Master’s degree in Statistics, Instituto Mexicano de Tecnología del Agua (IMTA), Mexico
• Additional training / teaching in statistical and machine learning methods, especially in genomics and prediction contexts, internationally.