Hello and welcome!

I’m Anna Preto, an astrophysicist and researcher in machine learning applied to astrophysics. I am currently pursuing a CIFRE PhD in collaboration between Mews Labs and the Astroparticles and Cosmology Laboratory (APC) at Université Paris Cité, under the supervision of Éric Aubourg and Cécile Roucelle. My research focuses on gravitational shear analysis using Bayesian neural networks, aiming to study dark energy through data from the Vera Rubin Observatory (LSST). This CIFRE PhD allows me to bridge academic research and industrial expertise, applying machine learning to gain a deeper understanding of the universe.

Since September 2024, I have been working at Mews Labs, a company specialized in developing AI-based optimization and decision-support solutions for complex systems. This experience has strengthened my skills in software development, code architecture, machine learning, and large-scale model deployment.

Previously, I was a second-year master’s student at the Observatoire de Paris, where I conducted research on the dependence of dark matter content within galaxies under the supervision of Dr. Camila Correa at the CEA. This experience provided me with a solid foundation in theoretical astrophysics and data analysis.

My research interests span galaxy formation and evolution, interactions within galaxy clusters, dark matter, theoretical cosmology, and the application of machine learning to astrophysics.

This website reflects both my academic and professional journey, while also offering a glimpse into my other interests—often absent from a simple CV page, yet a significant part of who I am.

I invite you to explore the site and dive into my universe! If you have any questions or comments, please feel free to contact me.

About me