Brazilian Center for Physics Research

Clécio R. Bom

Artificial intelligence applied to physics.

Pushing the frontiers of artificial intelligence in physics. From astrophysics to geophysics.

Professor and Technology Researcher at CBPF, where he leads the Laboratory for Artificial Intelligence Applied to Physics (LAB-IA). His current work includes inverse modelling with Neural Posterior Estimation, Physics-Informed Neural Networks and agentic AI for problems in astrophysics and geophysics.

Portrait of Clécio R. Bom

Highlights

H₀ · 2024

Hubble constant from dark sirens

Using AI-based catalogs, he obtained the first and, at the time, most constraining Hubble constant measurement from dark sirens, during the fourth observing run of gravitational-wave detectors.

GRB 230307

Neutron star merger

Co-author of the discovery of GRB 230307, a neutron star merger candidate.

S-PLUS

S-PLUS spokesperson

Spokesperson of the Southern Photometric Local Universe Survey and PI of the S-PLUS Transient Extension Program (STEP) and its gravitational-wave branch (STEP-GW).

Vera Rubin

Leadership at the Vera Rubin Observatory

Coordinates the TVS taskforce on LLMs and foundation models and the SLSC Strong Lensing Data Challenge (2024–2025).

2012 · 2020

Pioneering strong lensing work

One of the earliest applications of neural networks to strong gravitational lensing (2012) and the winning solution of the II worldwide lens finding challenge (2020).

Recognition

  • 2025

    Jacob Palis Award, from the Fulbright Commission and the Brazilian Academy of Sciences.

  • 2024

    Researcher Prize at the Brazil Conference at Harvard and MIT.

  • 2024

    Elected Affiliate Member of the Brazilian Academy of Sciences.

Research

Artificial intelligence methods to extract science from large astronomical and geophysical datasets.

Equipment at the CBPF AI laboratory

Astrophysics and cosmology

  • Search for gravitational-wave counterparts
  • Cosmology with gravitational waves
  • Kilonova and binary black hole astrophysics
  • Supernovae and fast transients
  • Search and modelling of strong lensing systems with Deep Learning
  • Photometric redshifts with AI density estimators
  • Galaxy morphology and search for rare objects

AI for physics and geophysics

  • Foundation models, LLMs and LRMs for physics
  • Velocity model building from seismic images with physics-informed AI
  • Artificial intelligence assessment of seismic images
LAB-IA logo

Laboratory for Artificial Intelligence Applied to Physics

LAB-IA brings together research, development and innovation at CBPF, with high-performance computing infrastructure dedicated to artificial intelligence and projects ranging from astrophysics to industry.

Opening of the CBPF AI and quantum technology laboratories