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Javier Resta López

Javier Resta received his degree in Physics (“Licenciatura”) from the University of Valencia (Spain) in 2001. Then, he moved to Mainz University (Germany) where, in 2003, he obtained a “Diplomarbeit” in Theoretical Nuclear Physics. In 2004, he was awarded with a doctoral fellowship from CERN. His PhD thesis was focused on the design and performance characterisation studies of nonlinear collimation systems for both circular (e.g. LHC) and linear (e.g. CLIC) colliders. After obtaining his PhD in Accelerator Physics with “Summa cum laude” from the University of Valencia in 2007, Dr Resta worked as a Postdoctoral Researcher at different prestigious international institutions: John Adams Institute for Accelerator Science (JAI), Oxford University; the Instituto de Física Corpuscular (IFIC) under the umbrella of a “Juan de la Cierva” fellowship; and the High Energy Accelerator Research Organization (KEK) in Tsukuba, Japan.

In 2014, Javier joined the University of Liverpool within the framework of a Marie Curie Intra-European Fellowship for experienced researchers. He conducted Beam Physics research to better understand the Beam Dynamics in low energy antiproton and ion storage rings towards the performance optimisation of existing and new antimatter facilities. In 2017, Javier was promoted to the position of Research Coordinator and Deputy Leader of the Quantum Systems and advanced Accelerator Research (QUASAR) Group at the University of Liverpool and Cockcroft Institute. He has led a wide-ranging R&D portfolio, including advanced beam dynamics studies, beam diagnostics and novel particle acceleration techniques.

Since July 2020, Dr Resta is a Distinguished Researcher (Plan GenT) at the Institute of Materials Science of the University of Valencia (ICMUV).



Moisés Barberá Ramos

Moises Barbera Ramos graduated with honours from the University of Liverpool (UoL) with a master’s in physics, specialising on applying computational methods to solve physics problems.

He worked at CERN for 4 months during summer 2019, developing a several-thousand-lines-long algorithm that automatically studied the trajectory of billions of particles moving from the SPS to the LHC. As a result, this study presents potential sources causing the instability of transfer lines TI2/TI8 during RUN II (view study here).

Moises’ Master’s thesis was developed for the selective FASER collaboration (CERN). He recognised and simulated the expected trajectories of Dark Matter indicators generated from collisions at ATLAS and studied the response of the calorimeter detector used by this collaboration. His results are been used on the construction of a new 2 million dollar particle detector, bringing science a step closer to detecting Dark Matter.

Outside academia, Moises used his technical skills at JP Morgan and Chase to develop algorithmic trading strategies and as the Vice-President of the Coding and Robotics Society where he developed a new hand tracking algorithm applied to remote car driving, winning the robotics competition award at the XJTLU University in Suzhou, China.

On his free time, he cultivates an enthusiasm for entrepreneurship. Moises used these range of skills to launch two start-ups, one is aiming to reduce radiation by 50% at hospitals worldwide ( and the other one is set to re-invent the smart-home industry for the 21st century.

His experience and enthusiasm to contributing to science and solving complex problems made him the first hire of the NOVAS collaboration, been part of this exciting team since the beginning.