Casali S

Stefano Casali
Stefano Casali holds a degree and a PhD in Cognitive Psychology and Neuropsychology at University of Pavia.

Techniques: Computational modelling in NEURON-Python environmentReaserch

Research field: Realistic computational reconstruction of the cerebellar granular layer network

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 Antonietti

Alberto got his Ph.D. degree cum Laude in Bioengineering in May 2018, working at the Neuroengineering and Medical Robotics Laboratory of Politecnico di Milano. During his Ph.D., he worked on computational neuroscience topics related to motor learning, in particular on the cerebellum. He has leveraged the realistic models of the cerebellum to investigate the effects of Transcranial Magnetic Stimulation (TMS) on cerebellar learning. Since July 2019, he has been working as a Postdoctoral research fellow at Egidio D’Angelo’s Lab at the University of Pavia, in the framework of Human Brain Project (HBP), collaborating in the generation of large-scale models of the mouse brain. His research topics regard Neuroengineering, Computational Neuroscience, and Neurorobotics.

Alice Geminiani

Alice obtained the Master’s Degree in Biomedical Engineering cum laude in April 2015, and the PhD in Bioengineering cum laude in July 2019, at Politecnico di Milano, working in the field of computational neuroescience. During the PhD, she has developed multiscale models of the cerebellar circuit using Spiking Neural Networks, to investigate cerebellar functioning and pathologies, specifically studying the role of complex single neuron dynamics and long-term plasticity in cerebellum-driven motor learning. The research activity has been carried out within CerebNEST, Partnering Project of the Human Brain Project, between the NEARLab of Politecnico di Milano and the University of Pavia. She has spent periods abroad as a visiting student at the University of Granada – CITIC, during the Master thesis, and the Erasmus Medical Center – Department of Neuroscience, during the PhD. She is currently a PostDoc researcher at the University of Pavia in Egidio D’Angelo’s laboratory, working on the reconstruction of a full-scale mouse cerebellar model mapped on the Allen Brain Atlas, within the Human Brain Project Voucher Virtual Mouse CerebNEST. She has experience in neuron model development and simulations in NEST.

Cristiano Alessandro


Soda TeresaTeresa Soda
Teresa Soda holds a Bachelor in Biological Sciences and a Master’s degree in Neurobiology and a PhD in Biomedical Sciences University of Pavia.

Techniques: Whole cell patch-clamp recordings on rodent cerebellar slices and image analysis of vascular reactivity.

Research field: Synaptic Plasticity in cerebellar cortex in a new model of autism, the IB2 KO mouse. Neurovascular Coupling.

Tognolina MMarialuisa Tognolina
Marialuisa holds a PhD in Physiology and Neuroscience (University of Pavia).

Techniques: Two-photon microscopy, calcium imaging, patch clamp

Research field: Long-term plasticity at the mossy fibers-granule cells synapses


Ileana Montagna

Ileana Montagna holds a PhD in Biomedical Sciences at University of Pavia, a Master’s degree in Neurobiology (University of Pavia) and a Bachelor in Molecular Biology (University of Naples Federico II).

Techniques: In vivo electrophysiology and optogenetics on mice.
Research field: Investigation of cerebellar plasticity and functional connectivity with other areas of the brain.

Teresa Sorbo

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