Home page of Gabriel Belouze
About

Hi! I'm Gabriel. In 2022, I graduated from the MVA Master and in 2023 from ENS Paris. Now I work at LSCE on forest remote sensing. My research interest focuses on Computer Vision and Machine Learning. I also enjoy functionnal programming, open source collaboration, neovim, creating pedagogical content, chess, outdoors, photography, climbing, whales, badminton... Mainly badminton.
Experience
- Research Engineer • LSCE
- Working under the supervision of Philippe Ciais and Fabian Gieseke on leveraging remote sensing for estimating forest biomass.
- R&D Internship • Lokad master thesis • paper •
- Worked on implementing and benchmarking a backpropagation-free autodifferentiation engine for the Envision programming language. This led me to contribute to the autodifferentiation research field.
- Software Development Internship • Tarides library • report •
-
Worked on improving the index data structure for
Irmin. I implemented
cactus
, a b-tree based OCaml library for persistent key-value storage. - Research Internship • Köln Universtät thesis •
- Worked on the prophet inequality with a random freeze (discrete mathematics).
- Research Internship • Inria Nancy internship report •
- Worked on applying Monte-Carlo search techniques for self localization of a robot under uncertainty.
Education
- ENS Master of Computer Science
- Computer Science Major at ENS Paris. Also followed classes in Maths and Neuroscience.
- MVA Master
- Master of Mathematics, Machine Learning and Computer Vision of ENS Paris-Saclay. Graduated with highest honors.
- Classes préparatoires
- French 2-year cycle of intense preparation for national exams. Maths, Physics and Computer Science at Louis-le-Grand.
Miscellaneous Projects
- Introduction to Python
- In 2023, I was a TA for the introductory course to programming at BCPST Fénelon. You can read the exercises and exams I have written for this class here.
- Colles
- From 2018 to 2023, I was a maths examiner at Louis-le-Grand and Ipesup. In this time, I progressively compiled a list of exercises from diverse sources - you can read them online or read the pdf (in French).
- Some fun with image stitching
- Playing around with the guided filtering techniques, used to stitched together pictures taken with different focal length. Read about it here.