Henry Truong completes his PhD

Congratulations to Henry Truong on completing his thesis titled “Machine learning high multiplicity matrix elements for electron-positron and hadron-hadron colliders“! The abstract of his thesis was: The LHC is a large-scale particle collider experiment collecting vastquantities of experimental data to study the fundamental particles, and forces, ofnature. Theoretical predictions made with the SM can be …

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Ten years after the discovery of the Higgs Boson

Martin Bauer and Stephen Jones have written a piece in reflecting on the road from theoretical idea to discovery of the Higgs Boson, and some of the yet unanswered questions in Particle Physics.

Congratulations Dr. Asli Abdullahi!

Asli Abdullahi passed her viva on 21 March, after a good discussion about neutrino physics with examiners Prof. Joachim Kopp and Dr. Djuna Croon. Dr. Abdullahi wrote an excellent thesis on aspects of neutrino physics, heavy neutral leptons, and low-energy anomalies. Now a postdoc at Fermilab, a bright future in particle physics awaits her.

We congratulate Parisa Gregg and Oscar Ochoa for defending their PhD theses

Parisa’s PhD project is at the intersection of IPPP and IDAS, Durham’s Institute for Data Science, centred around advanced data analysis methods in the search for New Physics effects at the Large Hadron Collider and machine learning for the fast evaluation of complex integrals from electroweak quantum corrections. Oscar has worked on improving our understanding …

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Andrew Blance defends PhD thesis

We congratulate Andrew Blance for defending his PhD thesis. For his PhD, Andrew developed novel (quantum) machine learning methods to search for new physics in LHC data. Thus, his work is based on cross disciplinary research between the IPPP and the Institute for Data Science (

Joseph Aylett-Bullock completes his PhD!

Congratulation to Joseph Aylett-Bullock who has completed his PhD after a remote defence. His thesis, titled “Colliding Worlds: Modern methods for amplitude computations and responding to crisis situations”, was based on his cross disciplinary research within the Institute for Data Science ( and the IPPP.

g-2 shows deviation from Standard Model prediction

This is a great success for the particle physics community (…)! The IPPP is very proud that Alan Martin has contributed to establishing the Standard Model prediction for g-2 that evidences a deviation from the experimentally observed value (