Tommaso Ronconi

(he/him)

Fixed-Term Researcher · HPC Expert

INAF – Institute of Radioastronomy (Italian ALMA Regional Center)

About me

Ciao! I am a researcher in Astrophysics and Cosmology at INAF’s Institute of Radioastronomy in Bologna, where I work as HPC expert at the Italian ALMA Regional Center. My research spans galaxy formation and evolution and large-scale-structure cosmology for modern surveys and experiments (i.e. SKAO, Euclid, ET) — from panchromatic SED modelling and Bayesian inference to full-sky mock light-cones. I am the author and maintainer of several open-source scientific packages (GalaPy, SCAMPy, and contributions to T-RECS and CosmoBolognaLib), built on a C++/Python and high-performance-computing foundation. Currently, I am leading the science-platform prototyping work package for the ESO ALMA support-centre development plan. I have supervised three graduate students and held lectures from the bachelor to the Ph.D. level.

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Academic Background

PhD in Astrophysics & Cosmology

2016-11-07
2020-10-06

SISSA — International School for Advanced Studies, Trieste

Master in High Performance Computing (MHPC)

2018-09-15
2019-12-20

ICTP / SISSA, Trieste

MSc in Astrophysics & Cosmology

Università di Bologna (DiFA)

BSc in Astronomy

Università di Bologna (DiFA)

Research Areas

Galaxy formation & evolution Panchromatic SED modelling Bayesian inference Full-sky mock light-cones Radio continuum & HI surveys (SKAO) Optical/NIR surveys (Euclid) Large-scale-structure cosmology Scientific software (C++/Python) & HPC

My Research

I work at the intersection of extragalactic astrophysics, large-scale-structure cosmology, and scientific software engineering. My research targets the next generation of cosmological surveys (SKAO in the radio and Euclid in the optical/near-infrared) where the questions and the datasets are large enough that the modelling and the software are inseparable problems.

Three threads run through my work. The first is galaxy formation and evolution through panchromatic spectral-energy-distribution modelling, combining physically motivated models with Bayesian inference to recover galaxy properties from multi-band data. The second is mock skies: building full-sky, multi-population light-cones that let survey teams test pipelines and forecast constraints before the real data arrive. The third, running underneath both, is high-performance scientific software — the C++/Python tools, HPC workflows, and open-source packages that make the science reproducible and fast.

I currently lead the science-platform prototyping work package for ESO’s ALMA support-centre ALMASPACE development plan, and I contribute to the SKAO Cosmology Science Working Group. I’m always glad to talk about survey simulations, SED modelling, or research software — feel free to get in touch.

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