I am a cognitive neuroscience postdoctoral researcher, currently working in Christian Ruff's team at the University of Zürich.
Broadly speaking, I am interested in how humans pursue goals and make decisions. I study these processes by building computational models, including artificial neural networks, that capture the mechanisms underlying goal-directed behaviour.

During my PhD in the Motivation Brain Behavior team at the Paris Brain Institute, under the supervision of Jean Daunizeau, I investigated the neurocomputational processes underlying decision-making, with a focus on why we sometimes make seemingly irrational choices.
I contributed to the development of the online metacognitive control of decision model, which derives an optimal policy for allocating effort during decision deliberation. This work builds on two key ideas: (1) investing mental effort in a decision increases confidence in the final choice, and (2) such investment is costly and therefore not always worthwhile.
I also developed a neuro-computational model of decision-making, implemented as a recurrent artificial neural network. This work revealed a potential trade-off between the rationality of decisions produced by orbitofrontal cortex circuits and their robustness to damage or noise, providing a new (distal) evolutionary hypothesis for why we sometimes choose sub-optimally.

Currently, I am exploring how machine learning methods can be used to extract interpretable computational models from flexible neural networks trained on complex behaviour. If you would like to chat, feel free to get in touch!