Guillem Hurault

Guillem Hurault

Data Scientist

Pythia Sports

I am a data scientist at Pythia Sports working on sport analytics.

Previously, I was a researcher in the Biological Control Systems Lab at Imperial College London, developing statistical and machine learning models to predict and control eczema.

Interests
  • Statistical Machine Learning
  • Bayesian modelling
  • Time-series forecasting
  • Causal inference
  • Open science
Education
  • PhD in Statistical Machine Learning, 2022

    Imperial College London (UK)

  • Master in Engineering, 2018

    Ecole Centrale de Lyon (FR)

  • MSc in Biomedical Engineering, 2017

    Imperial College London (UK)

  • Bachelor in Economics, 2016

    Université Lyon 2 (FR)

Projects

PhD project

PhD project

Towards a data-driven personalised management of Atopic Dermatitis severity.

EczemaPred

EczemaPred

R package to predict eczema.

Streetmaps

Streetmaps

Making streetmaps using OpenStreetMap and ggplot2 in R.

Football Prediction

Football Prediction

Modelling football outcomes in Stan.

HuraultMisc

HuraultMisc

Personal R package.

Calcium imaging

Calcium imaging

Shiny app for calcium imaging curve analysis.

Lokta-Volterra competition model in Stan

Lokta-Volterra competition model in Stan

Fitting a two-species Lokta-Volterra competition model using data from multiple experiments in Stan.

Regularisation

Regularisation

Case study comparing different regularisation methods for statistics and Machine Learning.

Recent Publications

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(2023). Reliable detection of eczema areas for fully automated assessment of eczema severity from digital camera images. JID Innovations.

Cite Code DOI MedRxiv

(2022). Evolution of Eczema, Wheeze and Rhinitis from Infancy to Early Adulthood: Four Birth Cohort Studies. American Journal of Respiratory and Critical Care Medicine.

Cite DOI

(2022). EczemaPred: A computational framework for personalised prediction of eczema severity dynamics. Clinical and Translational Allergy.

Cite Code DOI R Package

(2022). Detecting eczema areas in digital images: an impossible task?. JID Innovations.

Cite Code DOI MedRxiv

(2022). Can serum biomarkers predict the outcome of systemic immunosuppressive therapy in adult atopic dermatitis patients?. Skin and Health Disease.

Cite Code DOI MedRxiv