Who Am I?
Hi! I'm Jérôme Buisine, PhD in Computer Science and founder of SubAlpine.IT. I'm sensitive to current ecological and climate issues, and my job is to adjust and conceptualise machine learning models in order to meet specific needs — no more, no less.
Background and experiences
Freelance Data Scientist
2024 - Now.
@SubAlpine.IT - France
- Machine learning & AI solutions
- Optimisation (metaheuristics, operational research)
- Data science & statistical analysis
- Software development (Python backend, PostgreSQL, mobile & web)
- Scientific consulting & R&D
Associate Professor in IT
2022 - 2023
@LISIC - Calais (France)
- Machine learning methods to optimise time and cost in synthetic imaging
- Computer graphics research
- University teaching (computer science, data science)
Temporary Lecturer and Research Assistant
2021 - 2022
@LISIC - Calais (France)
- Research on noise perception in computer-generated images
- Teaching programming and machine learning
PhD in IT
2018 - 2021
@LISIC - Calais (France)
Subject: Machine learning methods for taking into consideration noise in computer generated images.
Carried out within the ANR PrISE-3D project (Perception, Interaction and 3D Lighting Simulation).MSc in IT (with distinction)
2016 - 2018
@ULCO - Calais (France)
Research
My research work converges around three axes: image synthesis (Monte-Carlo rendering, noise and artifact removal), deep learning (neural architectures for noise characterisation and detection) and visual perception (eye fixations and perception thresholds). It has led to publications in journals and conferences such as Journal of Vision, Entropy, ICMLA, the ACM Symposium on Applied Perception and the Eurographics Symposium on Rendering, as well as an open-source optimisation library published in the Journal of Open Source Software.
You can find my publications on Google Scholar and ResearchGate, my code on GitHub, and more details on my personal website: jeromebuisine.fr.