My name is Princy, and I am originally from Madagascar. I hold a dual PhD in Astronomy and Astrophysics from Radboud University (Netherlands) and KU Leuven (Belgium), with a specialisation in multi-wavelength time-series data analysis and the application of machine learning in stellar astrophysics. I am proficient in Python programming and experienced with deep learning frameworks such as Keras and PyTorch for image classification, time-series characterisation, and clustering. My PhD research focused on advancing our understanding of the formation and evolution of hot and compact evolved stars—also known as hot sub-luminous stars—by leveraging multiband time-series data and machine learning techniques.
Unsupervised machine learning for time-series characterisation
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Frequency analysis of sparsely sampled lightcurves
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Leveraging multiband time-series data from ground- and space-based telescopes and machine learning methodologies to advance the understanding of the formation and evolution of hot subwarf stars
* Courses: Astronomical Instrumentation and Data Analysis (Radboud University)
* Bachelor projects supervision (KU Leuven)
Semi-supervised generative adversarial network (SGAN) for pulsar synthetic image generation and classification.
Formation and evolution of young massive clusters in interacting galaxies
The NOVA-SKIES programme offers training in both soft and hard skills, fosters innovation and entrepreneurship, and opens career opportunities for early-career researchers, including PhD candidates and postdocs, in the field of astronomy in the Netherlands. The programme consists of a 2-day training course and a 6-month mentoring programme.
If you'd like to get in touch, feel free to reach me via email or social media.