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

### Poverty in Mexico 2018

### World Happines Report (WHR) 2017

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

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

Multivariate analysis of the data from the WHR 2017

One-shirt-size policy cannot handle poverty issues well since each area has its unique challenges, while having a custom-made policy …

We prove the consistency of a random forests algorithm with missing entries.

Simulation study of the algorithm to handle missing entries based on random forests.