Anais Moller

Dr. Anais Moller is a Research Fellow at Swinburne University of Technology's School of Science, Computing and Emerging Technologies. She leads the Fink broker (https://fink-broker.org) with real-time access to Vera C. Rubin Observatory transients, focusing on cosmology and transient astrophysics through machine learning-driven analysis of large astronomical datasets.

• Doctorat de physique de l'Univers (PhD), Université Paris Diderot 7, France
• Master 2 NPAC, Université Paris Diderot 7, France
• Licenciatura en Física, Universidad Simón Bolívar, Venezuela

Her research intersects three major domains:

• Cosmological constraints using Type Ia supernovae as standardizable candles for dark energy studies
• Multi-messenger astrophysics through searches for gravitational wave counterparts and fast transients
• Machine learning algorithm development for transient classification and data-intensive astronomy

Recent publications demonstrate her leadership in:

• Photometric redshift estimation for supernovae
• Host galaxy dust modeling
• Weak lensing analysis
• Time dilation measurements through supernova light curves
• Kilonova detection algorithms

Scientific recognition includes:

• 2025 School of Science, Computing and Engineering Technologies Research Excellence Award
• 2024 Asia-Pacific Women in AI Award (space category)

She actively supervises HDR (PhD) students in topics spanning:

• Primordial black hole density determination
• Fast transient detection
• Gamma-ray burst analysis
• Multi-wavelength transient studies
• Machine learning applications
• Gravitational wave host galaxy identification

As Associate Investigator at ARC Centre of Excellence for Gravitational Wave Discovery (OzGrav), she contributes to the detection of electromagnetic counterparts to gravitational waves, while leading two Australian Research Council grants focused on explosive astrophysics and dark universe illumination.