Bayesian Machine Learning to Predict Short-term Course of Eczema Severity

07 Sept 2018·
Guillem Hurault
Guillem Hurault
· 0 min read
Date
07 Sept 2018
Event
Location

London, United Kingdom

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Guillem Hurault
Authors
Senior Data Scientist

I build probabilistic models of noisy real-world systems to improve decision making. Right now that means forecasting the outcome of sports events; previously it was electricity demand and prices, and before that the progression of eczema severity in patients.

In particular, I developed expertise in Bayesian modelling, time-series forecasting, and decision analysis. I am also interested in the engineering around models, in order to deploy reproducible, maintainable, and well-tested solutions in production.