Irving Gómez Méndez

I am a postdoctoral researcher at the laboratory of Strategic Analytics Networks with Machine Learning and AI (SAI) of the Data Science and Analytics Research Group (DSARG) at the National Electronics and Computer Technology Center (NECTEC) in Thailand. I hold a PhD in Probability and Statistics from the Centro de Investigación en Matemáticas (CIMAT) with the thesis entitled ‘Random Forests and Autoencoders with Missing Data’ under the direction of Emilien Joly . From January to March 2020, I was in a research stay at Inria-Lille in collaboration with Jill-Jênn Vie working on variational autoencoders with missing data.


  • Computational Statistics
  • Nonparametric Statistics
  • Inference with Missing Data
  • Causality and Causal Inference
  • Data Science and Machine Learning


  • PhD in Probability and Statistics, 2021

    Centro de Investigación en Matemáticas

  • MSc in Probability and Statistics, 2016

    Centro de Investigación en Matemáticas

  • BSc in Mathematical Engineering, 2014

    Instituto Politécnico Nacional



Variational Autoencoders with Missing Data

This is a project in collaboration with Jill-Jênn Vie from Inria-Lille, France. Autoencoders Dimensionality Reduction In some …

Poverty in Mexico 2018

Analysis of poverty in Mexico using public datasets and development of a poverty index using autoencoders.

World Happines Report (WHR) 2017

Multivariate analysis of the data from the WHR 2017

Recent Publications