Researchers
Dr. Regina Sarmiento is a member of the UAP Science Advisory Council, applying advanced machine learning techniques to support the scientific study of complex observational data, created June 13, 2026 by Avi Loeb.
Position: Researcher in Astrophysics & Machine Learning Main Research Interests:
- Application of self-supervised and contrastive machine learning to large astronomical surveys
- Galaxy evolution, stellar populations, and kinematics (especially using MaNGA and JWST data)
- Data-driven methods to infer physical properties of galaxies and trace their assembly history
Media & Public Presence:
- Published in high-impact journals including Nature Astronomy and The Astrophysical Journal
- Conference presentations on machine learning in astronomical surveys
- Focuses primarily on extragalactic astrophysics and AI methodology rather than UAP-specific research
