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I applied to the CDT primarily to pursue my research interests and to take advantage of its close ties with industry.

Project title:ÌýConstraining Beyond Standard Model physics by reinterpreting published collider measurements

Research Group:

Supervisor(s): Prof Jon Butterworth

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I received my MPhys from the University of Manchester in 2022. My research project focused on making model-independent constraints on new physics theories using the Standard Model Effective Field Theory framework. After graduating, I worked in industry as a Data Analytics Consultant.

I applied to the CDT primarily to pursue my research interestsÌýbut also because of the close ties between the CDT and industry. This program offers excellent opportunities to apply research, data science, and machine learning skills to intriguing problems in new fields, while also allowing me to learn new skills from experts that can greatly benefit my research.

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Project description:ÌýÌý

Extensive searches at experiments such as the Large Hadron Collider (LHC) have thus far not yielded definite evidence of physics beyond the Standard Model (SM). My research focuses on the use of fiducial, particle-level measurements at the LHC, which have the advantage of a high-degree of model independence. Whilst made to scrutinise the SM to a high degree of precision, the model independent nature of these measurements mean they can be applied as tests for many different theories of fundamental physics. This is the purpose of the Contur toolkit, which can efficiently harness and reuse a library of LHC measurements, preserved as Rivet routines, to constrain new Beyond Standard Model theories.

First year group project:ÌýThe Guardian – Using Natural Language Processing to analyse immigration rhetoric in UK House of Commons speeches

Placement:Ìý

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