Michele Allegra

Michele Allegra is Researcher (RTD-A) since September 2021 at the “Galileo Galilei” Physics and Astronomy Department and the Padua Neuroscience Center of the University of Padua.

 

Upon completing a Ph.D in quantum physics at University of Turin, my research interests switched towards data analysis for neuroscience and I joined the Statistical and Biological Physics sector of the International School for Advanced Studies (SISSA), Trieste, where I worked in Prof. Alessandro Laio’s group from 2015 to 2018. My research activity within Laio’s group focused on advanced clustering techniques and their application to the study of dynamically changing brain connectivity. I deepended my focus on neuroscience during my stay at the Timone Neuroscience Institute (CNRS) in Marseille (2018-2021), where I joined the BraiNets group led by Andrea Brovelli. In Marseille I worked on the characterization of directional connections in brain networks, and their disruption in stroke.

 

My main research interest is understanding functional connections and in the brain, and their relation with the underlying dynamics. In my research I use a wide variety of tools including dimensionality reduction, information theory, and model inference.

 

I am author of 18 publications, of which 11 as a leading author. I lecture on statistics, data analysis, inference and information theory to physics undergraduate students and Neuroscience PhD students.

 

Personal web page: https://micheleallegra.github.io/

Google scholar: https://scholar.google.com/citations?user=pwlWv54AAAAJ&hl=it&oi=ao

Morten Gram Pedersen

Morten Gram Pedersen is Associate Professor in Bioengineering at the Department of Information Engineering, University of Padova.

 

He leads the unit for Modeling of Cell Biology. He holds a PhD in Mathematical Biology from the Technical University of Denmark, and has obtained independent funding for several postdoc positions, including a EU Marie Curie Intra-European Fellowships with Lund University Diabetes Centre, Malmö, Sweden.

 

He is the author of more than 50 papers on peer-reviewed journals (or which 8 as single author, 17 as first author; 30 as corresponding author). Besides collaborations with researchers from several departments of the University of Padova (Depts. Biomedical Sciences, Physics, Medicine, Mathematics), among others, he collaborates with experimental and theoretical researchers at Oxford University, UK; Uppsala University, Sweden; University of Exeter, UK; National Institutes of Health, MD, USA; Florida State University, FL, USA.

 

His main interests are mathematical modeling and theoretical analysis of:

  • local, intracellular calcium dynamics
  • local control of calcium-dependent potassium channels
  • protein and calcium dynamics evoking exocytosis of secretory vesicles
  • electrical activity in neuro-endocrine cells
  • clusters of electrically coupled cells

Ramón Guevara

Ramón Guevara is currently a Research Technologist at the Department of Physics and Astronomy, University of Padua, Italy.

 

He is a biophysicist and neuroscientist. He studied physics, earning an M.Sc in theoretical condense matter physics at the University of Havana, and an M.Sc in high energy physics at the Abdus Salam International Center of Theoretical Physics, Trieste, Italy. He defended his Ph.D thesis at the University of Trieste, Italy, in 2003, in the field of theoretical particle physics and cosmology, after which he worked at several universities, research institutes and hospitals in Italy, Spain, France and Canada. He is currently a Research Technologist at the Department of Physics and Astronomy, University of Padua, Italy.

 

His main research interest is the temporal coordination dynamics in the nervous system, and the investigation of the mechanisms and functional role of neuronal oscillations and synchronization in cognition and brain pathologies. He applies mathematical methods and concepts form the fields of nonlinear dynamics, statistical physics and information theory in his research. He has also contributed to the investigation of brain functional connectivity in non-invasive recordings of the human brain (electroencephalography and magnetoencephalography) from the methodological point of view. He has investigated how excessive neuronal synchronization leads to pathologies such as epilepsy and Parkinson’s disease, and the importance of noisy, non-synchronized activity for the emergence of consciousness. Other topics he has investigated includes diffusion processes in decisions making, time perception, stochastic resonance in vision and the role of brain oscillations in speech processing.

 

His teaching activity includes the Biomedical Modeling course for the Master in Biomedical Engineer at the University Paris Descartes in Paris, France, and the Physics and Biophysics course for the Faculty of Medicine of the University of Padua, held in Treviso, Italy, as well as shorter courses in more specialized topics at the University of Toronto in Canada and the Basque Center for Brain, Cognition and Language, in San Sebastian, Spain.

Marco Formentin

Marco Formentin is Associate Professor at the Department of Mathematics “Tullio Levi-Civita” of the University of Padova.

 

He graduated in Physics in 2004 and earned a doctorate in Mathematics in 2009 at the University of Padova. In 2017 he held the position of Assistant Professor (RTDb) at the Department of Mathematics “Tullio Levi-Civita” of the University of Padova and at present, he is Associate Professor.

 

His primary research topic is the understanding of systems made up of a large number of interacting agents and possible applications in complex systems ranging from ecology to interactive human dynamics.

 

Recent interests are:

1) mechanisms for the emergence of collective periodic behavior;
2) mathematical ecology: in particular mechanisms that enhance biodiversity;
3) modeling and statistics for complex human dynamics.

 

For more info visit https://www.researchgate.net/profile/Marco_Formentin

Alessandra Bertoldo

Alessandra Bertoldo is Full Professor of Bioengineering at the Department of Information Engineering of the University of Padova. 

 

Her research interests are mainly related to the development of mathematical models for analysis and control of biological systems and to the quantification of functional positron emission tomography and magnetic resonance images. Current personal and collaborative research activities include: Mathematical models for quantitative PET studies, Methods for magnetic resonance functional imaging, Imaging genetics, Non-linear mixed effects modeling, Quantitative multimodal imaging.

 

During her career, she has contributed to several national as well as international research projects. She teaches Imaging for Neuroscience for the Bioengineering Master’s Degree Program at the University of Padova. From 2015, she also teaches Statistical Methods for Bioengineering (Bachelor’s Degree Program in Information Engineering at the University of Padova).

She is the Referent of the Master’s Degree Program in Bioengineering and of the Bachelor’s Degree Program in Biomedical Engineering.

She is member of the board of the Doctoral School on Neuroscience of the Padova Neuroscience Center of the University of Padova.

Since November 2015, she is member of the IEEE-EMBC Technical Committee on Biomedical Imaging and Image Processing.

Since May 2016 she is member of the Board of Directors of the Padova Neuroscience Center, University of Padova. Since March 2017, she is vice-director of the Padova Neuroscience Center of the University of Padova.

In August 2022, she was appointed Director of the Padova Neuroscience Center, University of Padova.

 

Scopus: https://www.scopus.com/authid/detail.uri?authorId=6603190822

Research Gate: https://www.researchgate.net/profile/Alessandra_Bertoldo

Google scholar: https://scholar.google.it/citations?user=m0GuxsoAAAAJ&hl=en

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