PhD Student

In February of 2023, he started working on his senior thesis under the supervision of Prof. Iossif Papadakis, entitled "UV and optical cross correlation studies of AGN at different time-scales". The objective of his thesis was to quantitatively study the long timescale variations in Active Galactic Nuclei. His MSc degree was also under the supervision of Prof. Papadakis and it was entitled Study of the optical/UV time lags in quasars.

Both her MS and BS thesis (respectively entitled “Mitigating unbalanced training sets for machine learning: generation of synthetic SEDs for the selection of high-redshift quasar” and “Study of time dependence of Planck-LFI detector properties”) were carried out in collaboration with INAF. Her PhD project will be focused on polarisation of blazar emission, with observations carried out at the Skinakas Observatory.

In March 2022 he started to work on quasar observations at the Asiago Astrophysical Observatory, and in February 2023 he started working on his Master thesis titled "Chemical abundances along the Quasar Main Sequence". After graduation he was invited as a visiting researcher at the Center for Theoretical Physics in Warsaw to build a model for FeII emission in quasars. He joined the Department of Physics of the University of Crete and the Institute of Astrophysics in October 2024 as a PhD student under the supervision of Dr. Yannis Liodakis.

In A.A. 19/20, he was awarded an Erasmus+ scholarship for studies in Università di Padova, taking the opportunity to follow courses in e.g. Machine learning and Particle physics. His Master's thesis work relied on simulations on supercomputers at the Swedish National Infrastructure for Computing partly funded through the Swedish Research Council grant agreement No. 2016-07213, and regarded the effects of Fermi-like acceleration of neutrinos in the ejecta surrounding CCSNe. He joined IA as a software engineer in May 2024 and commenced his PhD in November 2024.

During her Master's Thesis « Impact of the distortion of time on the galaxy angular power spectrum » she worked on forecasting the signal to noise ratio for the SKA experiment by considering the observation of two different populations of galaxies (bright and faint), with the goal of testing General Relativity at large scales of the Universe, under the supervision of Prof. C. Bonvin and Sveva Castello at the University of Geneva. 

During her PhD studies, she will work on « Higher-order statistics for neutral hydrogen intensity mapping » as a member of the TITAN project.

For her PhD studies, she is using radio observations to study compact symmetric objects and supermassive black hole binaries. She is also a member of the PASIPHAE Collaboration, working on the mapping of the galactic magnetic field. Her research interests also include cosmological structure formation.

He became a member of the Institute of Astrophysics in 2022 when he started working on his senior undergraduate thesis under the supervision of Prof. Iossif Papadakis to study the X-ray variability of Active Galactic Nuclei using Swift/BAT light curves. He is currently a PhD student.

During his undergraduate and MSc studies, he studied physical models for the spectral energy distribution of accretion discs in Active Galactic Nuclei. He completed his senior thesis entitled "The energy spectrum of accretion discs in AGN" and his MSc thesis titled: “Theoretical model fits to the optical/UV spectral energy distributions of AGN” under the supervision of Prof. I. Papadakis. For his Ph.D. studies, he is working on modeling the optical/UV and X-ray variability of AGN spectra.

He worked on his Master's thesis titled "Dissecting the information content in the large-scale structures of the Universe using machine learning" under the supervision of Dr. Francisco Villaescusa-Navarro of the Flatiron Institute, New York, USA, where he investigated the scales and morphological features of the cosmic web from large-scale simulations to understand the origins of the cosmological information extracted by neural networks. For his PhD, he will be working on the topic "Morphology and Spatial Distribution of the Dust Emission using Deep Learning Methods" at FORTH with a strong collaboration with the CosmoStat Laboratory at CEA Paris-Saclay, as part of the TITAN project.