NEUROPHYSIOLOGY LAB
Eleonora Pali
Eleonora Pali holds a PhD 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 main 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).
Maria Conforti
Maria Conforti holds a Bachelor’s degree in Biological Sciences from the University of Genoa and a Master’s degree in Neurobiology cum laude from the University of Pavia. In 2026 she obtained a PhD in Biomedical Sciences at the Department of Brain and Behavioral Sciences (University of Pavia). Her PhD project focused on the study of prefrontal cortex dynamics and their modulation by the cerebellum, both in physiological conditions and in the IB2 KO mouse model of autism. Maria has expertise in in vivo electrophysiological recordings combined with optogenetic stimulation in anesthetized mice, one-photon miniscope calcium imaging in freely moving mice, and motor and cognitive behavioral testing.
NEUROCOMPUTATIONAL LAB
Martina Rizza
Martina Rizza holds a Phd in Computer Science (University of Milano-Bicocca), a Master’s degree in Neurobiology (University of Pavia) and a Bachelor’s degree in Biotechnology (University of Milano-Bicocca).
She is currently a post-doc research fellow in the Neurocomputational Laboratory, Department of Brain and Behavioral Sciences, University of Pavia.
Research Experience:
Computational neuroscience: realistic computational model of cerebellar neurons, parameter estimation of neuron models, reconstruction of the cerebellar microcircuit.
Computational modeling and simulation with NEURON-Python, knowledge of NEURON simulation tool, Python programming language and MATLAB simulation environment.
Alberto Arturo Vergani
Alberto Arturo Vergani holds an MSc in Cognitive Science from the University of Milan (2011-2014) and a Ph.D. in Computer Science and Computational Mathematics from the University of Insubria (2015-2018). His postdoctoral experience began in 2019 at Middlesex University in London (Chris Huyck’s lab), where he worked on neuromorphic simulations, supported by a fellowship from The Human Brain Project. In 2020, he joined the University of Aix-Marseille, Institut de Neurosciences de la Timone (Frederick Chavane’s lab), where he focused on modeling and simulation of the mammalian V1 cortex, funded by the French ANR Horizontal-V1 grant. In 2021, he joined the Sant’Anna School of Advanced Studies, Institute of BioRobotics (Alberto Mazzoni’s lab), where he adopted a combined approach of data analysis and modeling of neurophysiological biomarkers in different pathologies (Alzheimer’s and Parkinson’s disease, genetic epilepsy, autism spectrum disorder), funded by PREVIEW and TMSpath grants. From October 2024 he joined the University of Pavia, Department of Brain and Behavioural Sciences (Egidio D’Angelo’s lab), Neurocomputation Unit (headed by Prof. Claudia Casellato). His current projects focus on computational studies of cerebellar pathologies (Ataxia, Neatmove) and psychiatric disorders (Schizophrenia, The Virtual Brain Twin).
Dimitri Rodarie
Dimitri RODARIE holds a PhD in Neurosciences (EPFL University), a Master’s degree in Artificial Intelligence (University of Lyon 1) as well as a Engineering degree in Computer Sciences (University of Lyon 1).
He is currently a Post-doc research fellow in the Neurocomputational Laboratory, Department of Brain and Behavioral Sciences, University of Pavia.
Dimitri’s work has been centered around the data-driven reconstruction and simulation of point-neuron models of the mouse brain. In particular, his expertise lies in atlas-based modeling of brain circuits including cell orientations, density estimation, placement and morphology fitting to the brain shape. Since he joined Egidio d’Angelo’s Lab in 2022, Dimitri has been leveraging his experience to create informatics tools and workflows for modeling and simulating the cerebellar cortex.
Marialaura De Grazia
Marialaura De Grazia holds a PhD in Biomedical Sciences at the Department of Brain and Behavioral Sciences (University of Pavia). Her PhD project focuses on multiscale modelling for relevant cerebellar disorders, mainly ataxia, and on investigating the effects of promising therapeutic tools such as transcranial magnetic stimulation (TMS). She holds a degree in Physics and a Master’s degree in Physics of Complex Systems from the University of Pisa.
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 holds a Ph.D 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.
Gökçe Korkmaz
Gökçe Korkmaz holds a PhD in Biomedical Sciences at the Neuroimaging & Brain Modelling Lab, University of Pavia. Her research focuses on brain modelling for inferring causal brain architecture in distributed dynamical systems using the Dynamic Causal Modelling framework.
She obtained her Master’s degree in Psychology, Neuroscience and Human Sciences from the University of Pavia and her Bachelor’s degree in Psychology from the Middle East Technical University (Turkey).
Eleonora Lupi
Eleonora Lupi holds a PhD in the National PhD in Artificial Intelligence, course on Health and life sciences, organized by Università Campus Bio-Medico di Roma. She holds a master’s degree in Bioengineering at the University of Pavia, and her master’s degree thesis has the title “Myelin quantification in Magnetic Resonance Imaging: investigation and development of a new method to obtain g-ratio quantitative images from different acquisition techniques”.
Her project aims to use AI methods to develop a multiscale approach capable of simulating complex brain dynamics in both healthy and pathological brains, integrating subject-specific biophysical features into brain dynamics simulation.
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