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.