Hi everybody! My name is Serena Palazzo and I am an ESR at The University of Edinburgh within the Innovative Training Network (INSIGHTS) program. My supervisor is Michele Faucci Giannelli who gave me the possibility to join this network. I was born in the very south part of Italy, in Calabria and there I got my degrees in Physics at the University of Calabria in Cosenza. My high school path was focused on classical studies but, since that time, I started to be enthusiast about physics and I decided to start my undergraduate studies in Physics. During my bachelor path I started to be interested in particle physics and my first collaboration in this field was within the hadronic calorimeter DREAM community; I worked in this context for the calibration of this calorimeter. Then, for my master degree I started working within the ATLAS collaboration. My first project within the ATLAS collaboration was focused on the Phase-1 upgrade program of the Muon Sprectrometer of the experiment where I contributed in testing the new MicroMegas chambers. During my master thesis project I collaborated with researchers of the LNF laboratory (the Italian laboratory of particle physics). This collaboration gave me the possibility to learn a lot about the upgrade program of the ATLAS detector and to increase my knowledges on particle physics. I changed then topic, moving from the upgrade work to the measurements of cross sections. I started working within the top quark working group of the ATLAS collaboration where I contributed doing measurements of differential cross sections of the top quark pairs. During my studies I won a scholarship (INFN-CERN associate simil fellow) that gave me the possibility to spend 1 year at CERN. Spending this time at CERN was very useful from the point of view of my career development; I had the possibility to meet and collaborate with several reaserchers coming from all the part of the world. About my work within the INSIGHT newtwork, while continuing work on top quark measurements, I am learning new important techniques such as Machine learning techniques that I am currently using for different projects. The network is without doubt a great opportunity for first years researchers to enrich the research paths; it allows to have exachange of knowledges between the ESRs as well as it offers the possibility to follow useful trainings to consolidate and widen the knowledges. See you soon!