VIewing Space ThroUgh machine Learning and Astrostatistics (VISTULA)

Speakers

Ting-Yun (Sunny) Cheng Assistant Professor at the Kapteyn Astronomical Institute at the University of Groningen. Her research focuses on understanding how galaxies form and evolve structurally and chemically across cosmic time. She specialises in developing and applying advanced machine learning techniques to large astronomical datasets, with applications in galaxy morphology classification, inference of galaxy properties, identification of galaxy merger and lensing systems, and the detection and characterisation of hydrogen absorbers and primordial systems.
Antonio La Marca
Alex Razim
Carlo Schimd Lecturer at the University of Aix-Marseille since 2007 and a researcher in the cosmology group at the Laboratoire d’Astrophysique de Marseille. Carlo Schimd graduated in Physics from the University of Padua and subsequently obtained a Ph.D. in Physics from the University of Parma. He worked as Marie-Curie graduate fellow at the Institut d’Astrophysique de Paris, then as postdoc at CEA Saclay. He chairs the course of "Waves and Signals" at Polytech Marseille (bachelor) and the courses of "Statistics and Data Analysis", "Primordial Cosmology", and "Radioastronomy Project" for the Master's in Physics. Member of numerous international collaborations, his research has gradually shifted from relativistic cosmology to astrophysical cosmology, focusing on theoretical modelling of dark energy, weak gravitational lensing and galaxy clustering, specialising on applications of Minkowski functionals.
Will Pearson

 

• Ting-Yun Cheng (Kapteyn Astronomical Institute in Groningen)
• Antonio La Marca (Leiden Observatory)
• Alex Razim (Centre for Astrophysics and Cosmology, Nova Gorica)
• Carlo Schimd (Laboratoire d’Astrophysique de Marseille)
• Will Pearson (National Centre for Nuclear Research)