Anna Stakia

After obtaining my Diploma in Electrical Engineering and Computer Science from the National Technical University of Athens, I proceeded to pursue MSc studies in Nuclear and Elementary Particle Physics at the National and Kapodistrian University of Athens. For my MSc thesis, I worked on Supersymmetry searches on proton-proton collision data at a center-of-mass energy of 8TeV, in areas of compressed mass spectra, and I also carried out Trigger studies at 13TeV for the CMS experiment at the LHC (CERN). Following my Master’s degree, I held a Marie Curie Fellow position at CERN, within the MSCA Innovative Training Network ‘AMVA4NewPhysics’, with the objective of performing research on the utilisation and optimisation of Multivariate Analysis methods and tools in the context of New Physics searches, whilst working on my PhD in High Energy Physics (HEP). While in this position, and as a member of the corresponding research groups in the CMS Collaboration, I worked on projects related to HEP and Machine Learning applications in HEP, including Supersymmetry searches on p-p collisions at 13TeV, studies on the particle identification improvement with the use of Deep Neural Networks (DNNs), and investigation of the calorimeter response simulation with the use of DNNs.

In 2019 I was hired by the Institute of Nuclear and Particle Physics of the NCSR ‘Demokritos’ to conduct studies on Data Analysis in Experimental HEP. I am currently involved in research that aims at unveiling the existence and possible aspects of Physics beyond the Standard Model through the study of the top quark and its properties; I have been specifically working on a precision measurement of the helicity fractions of the W boson in top-pair events, making use of the full p-p collision dataset at 13TeV, as recorded within the past three years by the CMS detector at the LHC.