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 of the electroweak sector of the Standard Model of particle physics. Oscar designed new observables to tension measurements at the LHC and future e+e- colliders with theoretical predictions within an effective field theory framework.
We wish you all the best in your future endeavours.
