Current work

Selected research

I study quasars and active galaxies with large astronomical surveys. My work combines multiwavelength data, spectroscopy, and reliable machine-learning methods to build large source samples, measure redshifts, and support cosmological studies.

01 Euclid spectroscopy of nearly 3500 quasarsSpace-based slitless spectroscopy, redshift determination, and public data products. 02 Gaia-based quasar samples and an all-sky censusLarge multi-survey catalogues built from astrometry, optical and infrared photometry, and machine learning. 03 AI for astronomical spectroscopy: AIMS-zReliable redshift inference using spectral representations, astrophysical information, and multimodal data. 04 AGN environments and cosmological applicationsQuasar hosts, radio-galaxy environments, and cosmological applications of large source samples.

Research themes

Research program

Quasars and AGN

Building and studying large multiwavelength samples to understand active galaxies, their hosts and environments, and their cosmic evolution.

Survey spectroscopy and machine learning

Developing reliable, scalable methods for redshift measurement, spectral representations, multimodal inference, similarity retrieval, and anomaly discovery.

Large-scale structure and cosmology

Using quasars, galaxies, reliable redshifts, and cross-survey datasets as tracers for large-scale-structure and cosmological studies.

Open source

Research software

Explore software
qsospecQuasar spectral fitting from the UV to the near-infrared specboxInteractive inspection and manipulation of astronomical spectra euclidkitArchive access and analysis tools for Euclid data

From the site

Recent writing

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