I am a postdoctoral researcher applying Machine Learning and computational modelling to understand the brain 🧠 and behaviour.
I currently work in Tobias Hauser's Developmental Computational Psychiatry lab at the University of Tübingen, where I study ✨how dopamine and noradrenaline shape decision-making✨. Before that, during my PhD, I used Machine Learning on resting-state fMRI from the Human Connectome Project to map precise subdivisions of the striatum and link them to impulsivity and addiction.
- Combining real-time fMRI, computational modelling and behavioural tasks to understand how neuromodulators drive information gathering and decision-making.
- Linking psychiatric dimensions to behaviour on large datasets, e.g. how credit-assignment impairments relate to impulsivity and substance use, using reinforcement learning models, Machine Learning and Bayesian modelling (Stan).
- PhD in Psychology (University of Plymouth, 2024) in the Fouragnan lab: Machine Learning on HCP rs-fMRI to relate striatal subdivisions to behavioural measures of impulsivity and addiction, and RL models of credit assignment and alcohol use.
- Modelled the cortico-pulvino-cortical network in cats to confirm the role of the pulvinar in synchronising areas 17 and 21a, using an adaptive exponential integrate-and-fire model.
- Master's in Systems Biology (Sorbonne Université; the programme is now called AI and Machine Learning): analysed genomic and transcriptomic data (which genes are involved in osteosarcoma, and how do they connect together?) and behavioural data (why are we left- or right-handed 👌), and worked on everything from single- and multi-layer neural networks (⭐ ✨) to complex systems (how to model glucose levels in a diabetic mouse model).
Find my resume on my website
- I wear sunglasses inside because I am visually impaired... or maybe it's because I am just ✨French✨ 😎
- I love to put logos everywhere (as you can see)

