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Post-docs

NEUROCOMPUTATIONAL LAB

Alessio Marta

Dimitri Rodarie

 

Robin De Schepper

Robin De Schepper is a PhD student in Computational Neuroscience at the University of Pavia, graduated in Molecular and Cellular Neuroscience Magna Cum Laude from the University of Antwerp. Their master thesis expanded the Tsodyks-Markram model for short-term synaptic plasticity to explain previously uncaptured supralinear facilitation. They followed an internship at the Receptor Biology Lab of prof. dr. Stuart Maudsley where they developed Pyxis, a pipeline that mines the academic text body for data to compare signatures of GPCR ligands to disease signatures. They are interested in open access and distributing open source software that benefits the neuroscience community.


NEUROPHYSIOLOGY LAB

Danila Di Domenico

Danila Di Domenico is a PhD student in Biomedical Science (University of Pavia), holds a Bachelor in Biological Sciences (University of Milano Bicocca) and a Master’s degree in Neurobiology (University of Pavia). Techniques: In vivo electrophysiology and optogenetics on mice. Research field: characterization of cerebellar interaction with other areas of the brain. 

 

Eleonora Pali

Eleonora Pali is a PhD student in Biomedical Sciences at the Department of Brain and Behavioral Sciences (University of Pavia). She holds a bachelor’s degree in Biological Sciences cum laude (University of Florence) and a master’s degree in Neurobiology cum laude (University of Pavia).

Combining in vitro electrophysiological approaches with optogenetics, her Ph.D. project is focused on investigating the spatiotemporal processing of inputs in the cerebellar cortex. She is also deciphering a key mechanism of dendritic processing that implements spike-timing dependent plasticity in cerebellar Golgi cells using the whole-cell patch clamp technique.

 

Giorgia Pellavio

Giorgia Pellavio holds a Master’s degree in Experimental and Applied Biology and obtained a PhD in Translational Medicine at the Departement of Molecular Medicine (University of Pavia) in 2021. She worked as a postdoctoral research fellow at the Human Physiology Unit (Departement of Molecular Medicine, University of Pavia) focusing on membrane permeability studies in physiological and in different oxidative stress conditions. 

She joined the Egidio d’Angelo’s Lab in 2024 as a postdoctoral research fellow to study microcircuit alterations in a mouse model of cerebellar paroxysmal disorders (PRRT2 paroxysmal disorder), via recordings in acute mouse cerebellar slices using Two-Photon Laser Microscopy and 3D HD Microelectrode Array (MEA). 


NEUROIMAGING LAB

Roberta Lorenzi

Roberta Lorenzi  holds a M.Sc. in Bioengineering at University of Pavia. During her studies, Roberta developed a special interest in healthcare-oriented machine learning and programming. In her thesis work, she investigated the involvement of spinal cord in dementia disease, applying machine learning algorithms to Magnetic Resonance Imaging.

Roberta is now focused on the programming of brain activity simulations through The Virtual Brain (TVB) simulator. In addition, she is implementing a computational model of the cerebellum, aiming to reproduce cerebellar activity, compatible with TVB and other brain simulators technology”.

 

Marta Gaviraghi

Marta Gaviraghi is a Ph.D. student at University of Pavia – Dept. of Electrical, Computer and Biomedical Engineering. She holds a M.Sc. in Bioengineering at University of Pavia. In her thesis work, she developed an automatic method (based on deep learning) for segmentation of dentate nuclei in Magnetic Resonance Image.

Marta is now focused on the reconstruction of quantitative diffusion maps from k-space of Diffusion Weighted Images.


Digital Neuroscience Center , IRCCS Mondino Foundation

Anita Monteverdi

Anita Monteverdi holds a Master degree in Medicinal Chemistry (University of Pavia) and the PhD degree in Physiology (University of Pavia). Techniques: High Density Multielectrode array recordings on cerebellar slices; functional Magnetic Resonance Imaging(fMRI); MR spectroscopy (MRs). Research field: Electrophysiological and imaging investigation of cerebellar network function