Dr Evangelia Drakopoulou is a researcher in experimental (astro)particle physics with experience in neutrino experiments, Machine and Deep Learning techniques. She joined INPP in 2021. Dr Drakopoulou studied Applied Mathematical and Physical Sciences at the National Technical University of Athens obtaining her B.Sc. (2009) and MSc in Physics (2011). Her PhD in Elementary Particle Physics and specifically on “Muon and Neutrino energy Reconstruction for KM3NeT” was completed in early 2016. From 2016 to 2021 she worked as a Postdoctoral Research Associate at the University of Edinburgh and participated in international neutrino physics collaborations: Hyper-Kamiokande, TITUS/E61 [Japan] and ANNIE [Fermilab-USA].
She is currently working on KM3NeT (EU) https://www.km3net.org and ANNIE (USA) https://annie.fnal.gov neutrino experiments. Her research interests include among others the development of machine and deep learning techniques to discriminate signal from background in neutrino detectors to (i) better understand neutrino interactions and (ii) allow the detection of neutrinos from astrophysical sources.