Main Research Fields

I am an observational astronomer specialising in galaxy evolution and the triggering mechanisms of active galactic nuclei (AGN). My research focuses on understanding how galaxies transform in terms of stellar mass, morphology, dust, and the accretion processes of the supermassive black holes they host. I employ multi-wavelength datasets to explore the physical processes driving these changes and to uncover the complex interplay between star formation, galactic dynamics, and AGN. I utilise state-of-the-art machine learning techniques to morphologically classify galaxies in Euclid, JWST, and Subaru/HSC observations, enhancing our understanding of galaxy structure and evolution.

I have expertise in probabilistic deblending of low-resolution FIR Herschel maps and cross-matching them with optical datasets to provide crucial information for studying dust properties in galaxies. Beyond galaxy evolution studies, I am interested in applying novel machine learning methods to astronomical problems to get new insights and understand how AI could improve our research. 

Feel free to drop me an email at antonio.lamarca@esa.int if you would like to chat about any of these topics.