Background

My journey in words

Fascinated by space at the age of six, I spent my time telling my mother that I wanted to "go far, far, far" while pointing at the moon in the sky. I devoured all the books and documentaries on astrophysics while singing loudly like Amel Bent, "Viser la Luneeee" I remember being completely captivated by a documentary on dark matter, which had a profound effect on me at the tender age of six. At that time, I was very disappointed to be too young to contribute, thinking that by the time I was old enough to do research, this mystery would surely be solved... haha!

In middle school and high school, my answer remained the same to the question, "What do you want to be when you grow up, Anna?" - "An astrophysicist!" For my 16th birthday, I received Agnès Acker's book "Astrophysics." Even though I didn't understand it at all, I cherished it, dreaming of the day when I could read it without difficulty.

After completing my scientific baccalaureate, I was determined to pursue a physics degree specializing in astrophysics. I was already excited about the program at Université Paris Diderot (now Paris Cité) when I was only twelve. However, I realized that I needed to first acquire essential physics knowledge and persevere before specializing. I also discovered the importance of computational aspects during my studies, which was a major revelation for me. By my second year (L2), I discovered my passion for programming. As someone who loved theoretical physics and studying relativity, I learned about the power of numerical tools, simulations, and their synergy with theory. Finally, during my Master's year (M2), I delved into observational aspects of the field and understood the critical importance of grounding our work in empirical observations.

After my master’s degree, I followed the path of machine learning, which I also fell in love with. For a year at Mews Labs, I worked on developing and deploying machine learning solutions for diverse use cases, ranging from image analysis with CNNs and ViTs to building temporal predictive models and adapting LLM architectures. This experience allowed me to strengthen my skills in software architecture, handling complex data, and deploying large-scale applications, while maintaining a strong connection to scientific research.

Since October 2025, a new opportunity has arisen: my CIFRE PhD allows me to combine my two passions, astrophysics and machine learning, while keeping one foot in industry. I am working on applying Bayesian neural networks to gravitational shear analysis to study dark energy with data from the Vera Rubin Observatory (LSST), combining scientific rigor with industrial excellence through the collaboration between Mews Labs and the APC laboratory.

Alongside this..

My studies have given me a strong passion for programming, but alongside my courses, I strive to broaden my skills in other areas. Photography, theater, poetry, and drawing are complementary fields in which I am also developing. Additionally, I work as a freelancer, experimenting with logo and visual identity creation. I enjoy exploring new interdisciplinary domains that make use of my skills. I am very versatile and curious. In the summer of 2023, I developed an application in Dart. This application helps me stay informed about upcoming birthdays among my friends and enables me to search for birthdays based on a first name..

I also create websites and do web design, like the one you are currently browsing or this one: Vies galactiques