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Jack Buckingham


Having spent six years as a data scientist and software engineer in two industries, I am now following my desire to research novel mathematical modelling techniques by pursuing a PhD. I am currently an MSc student at the Mathematics for Real-World Systems Centre for Doctoral Training (MathSys II CDT).

My interests cover modelling with uncertainty and interpretability. Real world data is rarely just statistical noise injected into a deterministic model and I am interested in models which estimate both epistemic and aleatoric uncertainty. Further, I am interested in Bayesian non-parametric models for their ability to model otherwise hard to describe real world processes while remaining reasonably robust to overfitting. To this end I have previously worked with latent Gaussian process models.

I am particularly interested to pursue how these methods can be applied to solve some of the problems created by climate change and more generally by human impact on the environment.

Education and Experience

2021-present: MSc in the Mathematics of Real World Systems, University of Warwick

2017-2021: Data Engineer/Data Scientist, Pace Revenue
Early member at a dynamic pricing start-up in the hospitality industry.
I worked as both a data engineer and data scientist. Selected projects include using SARIMA models to forecast hotel bookings, and incorporating booking forecasts in the pricing algorithm.

2015-2017: Metrology Engineer, Renishaw
Precision measurement company for the manufacturing industry.
Prototyping new calibration methods; Quantification and propagation of uncertainty; Non-linear optimisation; Bayesian modelling.

2011-2015: Master of Mathematics (BA/MMATH), University of Cambridge (Merit)


jack dot buckingham at warwick dot ac dot uk

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Useful Links

Climate change