Science

My research focuses on understanding the formation and evolution of galaxies within their cosmic environment, particularly in the early Universe. By analyzing distant galaxy clusters and protoclusters at z ~ 2, I investigate the physical processes that drive galaxy growth, the role of large-scale structure, and the interplay between star formation, supermassive black holes, and gas dynamics.

I specialize in using multi-wavelength data, combining integral field spectroscopy (IFS) and high-resolution imaging to probe the interaction between galaxies and their surroundings. Through observations with instruments such as KCWI, HST, and MUSE, I analyze gas kinematics, feedback from active galactic nuclei (AGN), and the presence of diffuse intracluster light (ICL) as an indicator of early structure formation. My work also involves numerical simulations and cosmological models to interpret observational data and provide a theoretical framework for galaxy evolution studies.

A significant part of my research is dedicated to the circumgalactic and intergalactic medium (CGM/IGM), exploring how galaxies exchange gas with their environment. By studying Lyman-alpha emitting galaxies and their extended gaseous halos, I place constraints on the cosmic ultraviolet background (UVB) and the distribution of matter in the large-scale structure of the Universe.

My work is highly interdisciplinary, spanning astrophysics, cosmology, and data science. I actively collaborate with international teams to develop innovative observational strategies and analytical techniques. Additionally, I am committed to science communication and public outreach, integrating astronomy with broader cultural and educational initiatives to make complex scientific concepts accessible to diverse audiences.

See my list of publications here

Latest paper

A quasar at the heart of a forming galaxy cluster shows almost no glowing gas around it. The gas lights up instead a little further away, along a tidal stream of stars and galaxies caught in the middle of merging.

Peer-Reviewed Publications

Here are the peer-reviewed papers I have contributed to, from galaxies and the cosmic web to planetary atmospheres.

Current Projects

My current research explores the formation and evolution of large-scale structures in the early universe, focusing on galaxy clusters and protoclusters. Lately, I've been interested in understanding the connection between intracluster light (ICL) and cluster/protocluster environments.

Co-evolution of Galaxies and their Environment at Cosmic Noon

Investigating the interplay between galaxies and their large-scale environment at z~2, analyzing gas dynamics, AGN feedback, and intracluster light using KCWI and HST data to understand the early assembly of cosmic structures.

Latest paper →More details here

The Cosmic Ultraviolet Background

Constraining the Cosmic UVB intensity around Lyman-alpha emitting galaxies using MUSE data and cosmological simulations.

More details here

Cosmic Web Detection

Searching for Cosmic Web signals around Lyman-alpha emitting galaxies using MUSE data and constraints from cosmological simulations.

More details here

Galaxy Clusters Detection

Using the red-sequence technique to detect galaxy clusters in the CFHTLS/VIPERS surveys and estimate their optical richness.

More details here

Galactic Center Simulations

Using hydrodynamical simulations to understand gas inflows into the inner ~200 pc of the Milky Way due to a satellite galaxy merger.

More details here

AI safety research

Alongside astronomy, part of the work at CosmoVentures looks at how AI systems are overseen and contained. These reports come from Apart Research sprints: early results, shared openly.

AI Incident Response Sprint · Sep 2026

Different Reviewers, Same Blind Spot

Replaying a real sandbox escape from July 2026, the team compared one monitor, four identical monitors and four reviewers with distinct roles. Specialised reviewers held containment on more unsafe steps, yet every set-up shared the same blind spot.

With Muhammad Shoaib Altaf, Devesh Sawant and Xin Li.

Read the report →

Digital Minds Research Sprint · Aug 2026

False Epistemic Redundancy

Does asking one model to reason as several personas widen what it considers? Across real cases, more varied answers did not mean the decisive explanation was found more often.

With Anya Habana.

Project page →Read the report →

AI Incident Response Sprint · Sep 2026

Playing Through an AI Incident

Little Agent Lab as a research piece: a browser game in which you build a team of AI agents and keep a secret from leaking, making oversight and verification tangible for younger players.

Play Little Agent Lab →Read the report →

Research Journey