
Nicolas Chagnet, PhD
Junior data scientist
I am a doctor in theoretical physics who transitioned to data science: from modeling black holes to optimizing IKEA's furniture ecosystem.
Experience
- October 2024 - Ongoing
Junior Data Scientist
Ingka Digital | IKEA - September 2020 - September 2024
Research Scientist
Leiden University - September 2020 - January 2024
Teacher Assistant
Leiden University - September 2019 - June 2020
Research Intern
Leiden University/University of Amsterdam
Education
- 2020 - 2024
Ph.D. in Theoretical Physics
Leiden University - 2017 - 2019
M.Sc. in Theoretical Physics
École Normale Supérieure de Lyon - 2014 - 2017
B.Sc. in Math, Physics
Lycée du Parc/École Normale Supérieure de Lyon
Certifications
- 2024
Deep Learning specialization
Deeplearning.ai and Coursera program - 2024
Kaggle
Various course completions
Projects
Forecast of energy demand in France. The data is periodically fetched from the European Network of Transmission System Operators for Electricity API and the model automatically re-trained.
More details in this blog post.
Applied deep learning methods to solve differential equations with applications in physics.
More details in this blog post.
Numerical simulation of Ising spins under thermal fluctuations showcasing the transition between ferromagnets and paramagnets. The simulation is achieved with both Monte-Carlo sampling methods and genetic algorithms.
More details in this blog post.