Guillem Hurault

Senior Data Scientist

CFP Energy

I am a Senior Data Scientist at CFP Energy where I develop statistical and machine learning models to forecast electricity prices.

Before this, I worked as a Data Scientist at Pythia Sports to predict the outcome of sports events. I started my career as a researcher at Imperial College London in the Biological Control Systems Lab specialising in Bayesian modelling and time-series to predict and control eczema.

Interests

Statistics & Machine Learning
Bayesian modelling
Time-series forecasting
Decision analysis
Software engineering

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

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

Reproducible R Workflow

Example reproducible workflow in R.

EczemaPred

R package to predict eczema.

Streetmaps

Making streetmaps using OpenStreetMap and ggplot2 in R.

Football Prediction

Modelling football outcomes in Stan.

$LaTeX Templates$

LaTeX Templates

Custom style files for LaTeX documents.

HuraultMisc

Personal R package.

Calcium imaging

Shiny app for calcium imaging curve analysis.

Lokta-Volterra competition model in Stan

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

Regularisation

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

Recent Publications

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Guillem Hurault, J-F. Stalder, M. Saint Aroman, R.J. Tanaka (2024). Data-driven personalised recommendations for eczema treatment using a Bayesian model of severity dynamics. medRxiv.

Code DOI

A. Duverdier, Guillem Hurault, K. Thomas, A. Custovic, R.J. Tanaka (2024). Evaluation of measurement errors in the Patient-Oriented Eczema Measure (POEM) outcome. Clinical and Experimental Allergy.

Cite Code DOI

R. Attar, Guillem Hurault, Z. Wang, R. Mokhtari, K. Pan, B. Olabi, E. Earp, L. Steele, H. C. Williams, R. J. Tanaka (2023). Reliable detection of eczema areas for fully automated assessment of eczema severity from digital camera images. JID Innovations.

Cite Code DOI MedRxiv

S. Haider, S. Fontanella, A. Ullah, S. Turner, A. Simpson, G. Roberts, C. S. Murray, J. W. Holloway, J. A. Curtin, P. Cullinan, S. H. Arshad, Guillem Hurault, R. Granell, A. Custovic, on behalf of STELAR/UNICORN11 investigators (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

Guillem Hurault, J-F. Stalder, S. Mery, A. Delarue, M. Saint Aroman, G. Josse, R. J. Tanaka (2022). EczemaPred: A computational framework for personalised prediction of eczema severity dynamics. Clinical and Translational Allergy.

Cite Code DOI R Package

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