I am broadly interested in statistical theory and methodology with particular interest in functional data and nonparametric statistics. Today statistics is more important that ever, because of the ease with which we can collect large amounts of data. The challenge is to sort through all of this data and separate out the consistent patterns from the noise.
How best to use these tools is a fundamental challenge for our subject and the focus of my research.
I complete my PhD in Mathematical Sciences from the University of Manchester. Before coming to Manchester, I did a MSc in Statistics and Probability at Center for Mathematical Research (CIMAT)
Prior to this, I did a BSc in Applied Mathematics and Computer Science from the National Autonomous University of Mexico (UNAM).
PhD in Mathematical Sciences, 2019
The University of Manchester
MSc in Probability and Statistics, 2013
Center for Mathematical Research, CIMAT.
BSc in Applied Mathematics and Computer Sciences, 2008
National Autonomous University of Mexico, UNAM.
100%
Data modelling
Machine Learning
80%
80%
We aim to develop pipelines to process the data, extract features of interest and perform classification for rare/undiagnosed diseases.
Parents of children with complex diseases require easily understandable information about their disease to improve health outcomes.
Bicycling is an often overlooked means of transportation, both for commuting and for recreation which, in recent years, has gained in popularity. It is also an environmentally friendly, economical and healthy activity.
10K
All styles
Always winner