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Let's take it back to the beginning of everything. Would it be possible to start again? Particle physics, machine learning, and applied mathematics take centre stage as our speakers discuss how we could possibly begin to build a universe.
Maria Ubiali
Maria Ubiali is a Professor of theoretical particle physics and phenomenology in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge and Sheila Edmonds Lecturer in Mathematics at Newnham College. Her research centres around the formulation of precise theoretical predictions to be compared to the experimental data collected by the Large Hadron Collider at CERN, Geneva. Maria’s work tackles a number of open fundamental questions about the structure of the proton and the origin of our Universe.
Manuel Morales Alvarado
Manuel is a PhD student at the Department of Applied Mathematics and Theoretical Physics of the University of Cambridge under the supervision of Dr. Maria Ubiali. He obtained his master’s degree in High Energy Physics at ETH Zürich and École Polytechnique Paris, and his bachelor’s degree in Physics at FCFM Universidad de Chile. His main research interests include particle physics phenomenology, QCD, physics beyond the Standard Model, effective field theories, and arbitrary spin formalism.
Luca Mantani
Luca is a Research Associate at the Department of Applied Mathematics and Theoretical Physics of the University of Cambridge. He studied physics at the University of Bologna graduating in 2017 and later studied his PhD at the Université Catholique de Louvain in 2021. Currently, his research is focused on the possibility to uncover New Physics indirectly at colliders within the SMEFT framework. He also has an interest in Dark Matter searches, with emphasis on indirect detection and collider production.
Elie Hammou
I am a PhD student at the University of Cambridge, in the Department of Applied Mathematics and Theoretical Physics. My research focus is particle physics phenomenology. This is a bridge between theoretical and experimental searches. I work on extending the Standard Model of particles to describe the effects of potential new physics without knowing its nature in advance. I have a special interest in probing the proton’s structure.
My research relies greatly on computational methods to simulate and analyse collider data. I am working towards improving the fitting methods we use to hunt for new physics.
My research relies greatly on computational methods to simulate and analyse collider data. I am working towards improving the fitting methods we use to hunt for new physics.
James Moore
James Moore read mathematics at the University of Cambridge from 2015 to 2019, taking a particular interest in theoretical physics as part of his masters year. He has since been a PhD student and now postdoctoral research associate of Maria Ubiali in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, working on simultaneous determination of parton distribution functions and beyond the Standard Model effects.
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