I’m a particle physicist working on the Large Hadron Collider (LHC) at CERN as a member of the CMS experiment. My research interests vary widely and range from:
- Quantum computing and machine learning – Leveraging the unique capabilities of quantum computers and machine learning for particle physics and beyond.
- Dark Matter experiment and phenomenology – Searching for the experimental signatures of dark matter particles at the LHC and proposing theoretical models of simplified dark matter scenarios.
- Precision physics – Measuring theoretically well predicted quantities to unprecedented precision at hadron colliders like the Tevatron and LHC.
Quantum computing is poised to be THE technology of the 21st century. What impact will it have in tackling the most challenging problems in particle physics? Read more
Dark matter accounts for 1/4 of the matter-energy content of the Universe. Yet, it remains elusive. What is the nature of dark matter and how does it interact with us? Read more
Precision measurements can shed light on exotic new physics and validate our most successful theoretical model, the Standard Model. Can we break the Standard Model? Read more
- Sept 2022 “Quantum computing for particle physics”, seminar as part of Joint UCLQ-NPL seminar series.
- Mar 2022 “Quantum computing for simulating high energy collisions”, seminar given to QuantHEP Lisbon group.
- Nov 2021 “Pushing the precision frontier of LHC physics with the measurement of the Z invisible width at CMS”, Nuclear and Particle Physics Colloquium at MIT
- Apr 2021 Quantum Computing for simulating high energy collisions, University of Cambridge.
- Jan 2021 Quantum Computing for High Energy Physics, seminar at High Energy Physics group, Warwick University.
- Nov 2020 Quantum Computing for simulating high energy collisions, seminar at Royal Holloway, University of London.
- Oct 2020 Quantum computing for High Energy Physics, seminar at University College London.
- Callum Duffy (University College London): Quantum machine learning for reconstructing particle trajectories, 2021 – current
- Marcin Jastrzebski (University College London) : Quantum machine learning for reconstructing particle trajectories, 2020 – current
- Simon Williams (Imperial College London): Quantum computing for simulating high energy collisions, 2019 – current
- Vincenzo Cacchio (Imperial College London): Precision B-physics measurements at the CMS experiment, 2018 – current
- Giacomo Zecchinelli (Imperial College London) : Precision measurement of differential cross sections of Z and γ bosons at the CMS experiment, 2017 – 2021
- Shane Breeze (Imperial College London): Precision measurement of the Z invisible width at the CMS experiment, 2016 – 2020
- Mohammad Hassanshahi (University College London): Quantum-enhanced machine learning for galaxy classification