Diego Andres Perez Ruiz

Diego Andres Perez Ruiz

Data Analyst/Research Associate in Statistics

The University of Manchester

About me

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).

Interests

  • Machine Learning
  • Deep Learning
  • Artificial Intelligence

Education

  • 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.

Skills

R

100%

Statistics

Data modelling
Machine Learning

Python

80%

julia-language

Julia

80%

Experience

 
 
 
 
 

Data Analyst

Mosscare St Vincent’s Housing Group

Dec 2019 – Present
Developing, implementing and maintaining the Asset Management databases to enable the development, procurement, monitoring and review of asset investment programmes.
 
 
 
 
 

Research Associate in Statistics

The University of Manchester - Department of Mathematics

Sep 2019 – Nov 2019 Manchester, UK
Modelling the prediction of hypoglycaemia by CGM in CHI
 
 
 
 
 

Research Assistant in Statistics

The University of Manchester

Apr 2018 – Aug 2018 Manchester, UK
Carrying a specific research agenda under the supervision of Prof Wendy Olsen.

Accomplishments

Neural Networks and Deep Learning

See certificate

Blockchain Fundamentals

Formulated informed blockchain models, hypotheses, and use cases.
See certificate

Object-Oriented Programming in R: S3 and R6 Course

See certificate

Projects

*

Machine learning for rare disease pattern recognition and analysis

We aim to develop pipelines to process the data, extract features of interest and perform classification for rare/undiagnosed diseases.

Modelling the prediction of hypoglycaemia by CGM in CHI

Parents of children with complex diseases require easily understandable information about their disease to improve health outcomes.

Probabilistic Modelling of Risks of Cycling Accidents. A case study of Greater Manchester

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.

Hobbies

Running

10K

Swimming

All styles

Chess

Always winner

Contact

  • The University of Manchester, Oxford Rd, Manchester M13 9PL
  • DM Me
  • Skype Me