About Me

I am an astrophysicist studying galaxy evolution through the analysis of high-redshift sources using astroinformatics and machine learning (ML) techniques. My work integrates multi-wavelength data from large-area surveys —including radio (EMU, LoTSS), ALMA, and optical/IR— to identify and characterise active galactic nuclei (AGN) and star-forming galaxies (SFGs). I have developed a robust classification and redshift estimation ML pipeline, published peer-reviewed results, and contributed to international collaborations and public engagement.