Research fellow

Neuroscientist with international experience in in vivo electrophysiology and computational analysis of large
neural datasets, focused on basal ganglia circuits and multisensory integration.

Training
• PhD Neuroscience, Univ. of Haifa (2019). Thesis on network activity in the dorsolateral striatum and role of interneurons
fast-spiking in decision-making learning. I used an innovative paradigm based on multidimensional labyrinths
to distinguish learning and decision making. I also developed the Weighted Attention Model, which describes how
animals selectively distribute attention across different sensory dimensions, distinguishing learning
progressive and strategic choice.
• Master's Degree in Pharmaceutical Chemistry and Technology, University of Bologna (2012), thesis on visual paths in
superior colliculus.

Research Experience
• Post-doc, Northwestern Univ. (Chicago, 2022–2025). Study of the neuronal mechanisms underlying dysfunctions
motors in Parkinson's with MitoPark models. Analysis of outer globus pallidus activity during locomotion
spontaneous by multi-unit recordings and optogenetic manipulations. Pipeline development in MATLAB and
Python for data processing.
• Post-doc, CNRS Paris (2019–2022). Research on the presubiculum with high density recordings (Neuropixels) in
controlled vestibular and visual stimulation conditions. I designed an innovative setup to isolate input
multisensory and combine them, revealing the role of bursting neurons in rapidly updating the directional signal.
• Visitor Researcher, IMN Bordeaux (2019).
Technical Skills
• In vivo electrophysiology.
• Behavioral Analysis and Motion Reconstruction (DeepLabCut).
• Programming (MATLAB, Python), machine learning, management of complex datasets.
• Design of experimental setups for multimodal neural recordings.

Languages
Italian (mother tongue), English (fluent), French (intermediate).