Anita Monteverdi is a PhD student in Physiology (University of Pavia). She holds a Master degree in Medicinal Chemistry (University of Pavia) and prepared her thesis in collaboration with the Institute of Neurology,UCL (London).
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
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.
Alessandra is a PhD student in Biomedical Science (University of Pavia). She holds a Bachelor in Biological Science at Marche Polytechnic University and obtained the Master’s degree in Neurobiology cum laude in January 2019, at University of Pavia.
During the master thesis, she developed a realistic model of Cerebellar Basket Cell, using PYTHON+NEURON, in order to investigate morphological and biophysical features of this cell and the role that plays in cerebellar circuit.
As a part of her PhD project on computational neuroscience, she’s using BluePyopt, Matlab and doing simulation on cluster in order to optimize and analyse neuron models.
Research field: Modelling of Neurovascular Coupling in the cerebellar circuits.
Robin De Shepper
Robin De Schepper is a PhD student in Computational Neuroscience at the University of Pavia. He graduated in Molecular and Cellular Neuroscience magna cum laude from the University of Antwerp. His master thesis expanded the Tsodyks-Markram model for short-term synaptic plasticity to explain previously uncaptured supralinear facilitation. He followed an internship at the Receptor Biology Lab of prof. dr. Stuart Maudsley where he developed Pyxis, a pipeline that mines the academic text body for data to compare signatures of GPCR ligands to disease signatures. He is interested in open access and distributing open source software that benefits the neuroscience community.
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 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.