Aynaz Adl Zarrabi
I am a Postdoctoral Researcher at the Oppenheim Team at IPNP (Institut de Psychiatrie et Neurosciences de Paris). My current research focuses on multimodal neuroimaging and computational modeling to identify structural and functional brain biomarkers associated with anorexia nervosa. I hold a PhD in Computer Science and Cognitive Neuroscience from Neuro group @ Femto-ST (CNRS/Université Marie et Louis Pasteur, France), specializing in probabilistic modeling and psychophysics. My research is dedicated to understanding the latent dynamics of sensory decision-making in post-stroke patients. Leveraging data-driven approaches, I aim to uncover the cognitive and behavioral mechanisms underlying impairments in sensoryprocessing. I have a Master's degree in Applied Mathematics and Computer Science from Université Toulouse II Jean Jaurès , where I have developed expertise in Statistical modeling, Machine learning, and Image processing.
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Download CV (PDF)📄 Publications
- Adl Zarrabi, A.(2025). " PhD Thesis, Reverse-correlation modeling of deficits of prosody perception in right-hemisphere stroke ."
- Adl Zarrabi, A., Jeulin, M., Bardet, P., Commère, P., Naccache, L., Aucouturier, JJ., Ponsot, E., & Villain, M. (2024). " A simple psychophysical procedure separates representational and noise components in impairments of speech prosody perception after right-hemisphere stroke ." *Scientific Reports*.
- Merchie, A., Ranty, Z., Adl Zarrabi, A., Bonnet-Brilhault, F., Houy-Durand, E., Aucouturier, JJ., & Gomot, M. (2024). " Intact Representation of Vocal Smile in Autism: A reverse correlation approach ." *Research in Autism*.
More publications and presentations available on Google Scholar.
🖥️ Software & Open-Source Projects
- PALIN - Python package for computing internal noise and mental representation through simulation in psychophysical experiments.
More projects available on GitHub.