Core research
Collaborations + Interdepartmental Projects
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βAt the department of Physics I use my skills in computing and mathematical modelling to work alongside domain experts in high energy physics (the physicists!) and astronomy. We work together to look at problems from a machine learning perspective. We accumulate large sets of numerical data from experiments and with the end goal of training algorithms for automatic classification. I am currently working on techniques to classify rare decays and in astronomy to identify gravitationally lensed quasars.
A particle decay from ATLAS
Strong gravitational lensing
My core research is in the area of Gaussian processes (GP) which is a versatile nonparametric and probabilistic technique to conduct regression and classification. My research deals with several questions surrounding GPs.
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How to make them more efficient (sparsity?)

How to make them more effective in high dimensional settings.

Exploring nonstationary covariance kernels.

Exploring if Gaussian processes can be used for density estimation.

The relationship between GPs and Neural networks.
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#computing #statistics #data #images #science