About me

I am a Physics graduate with a strong passion for weather and climate. I enjoy using computational methods to solve physics problems, particularly those encountered in fluid dynamics.

Ever since my Bachelor’s thesis on sea ice dynamics, I have been involved in the Schmidt Sciences-funded Scale Aware Sea Ice Project (SASIP). This allowed me to start exploring how machine learning can be used to improve the predictions of climate models, for example by being integrated into a data assimilation routine, and to share my work with brilliant scientists.

One thing I have particularly at heart is the openness and reproducibility of software used to make new science. I’ve matured this conviction by seeing the critical work of research software engineers first-hand at the Institute of Computing for Climate Science. There, I have had much fun contributing to FTorch, a piece of software aiming to solve the technical difficulties encountered when integrating machine learning with Fortran climate models. To concretely put this commitment into practice, I’ve had the pleasure of reviewing for the awesome Journal of Open Source Software.

Software #

I care deeply about the openness and freedom of software. I strive to keep the code I work on available at these git forges:

GitHub: @niccolozanotti
Codeberg: @niccolozanotti
Sourcehut: ~niccolozanotti

Interests/Hobbies #

I like to travel to explore this beautiful world of ours 🌍
I am into self hosting and I am learning a lot by getting my hands dirty with my Raspbery Pis-powered homelab 🤓
I like to play chess ♟️and I have been organizing chess tournaments/courses. Check out chess.frampula.com

Contact me #

You can get in touch with me at contact@niccolozanotti.com.

Socials #

References #

References are available upon request.

Last updated on: 25 May 2026