Speakers

Miguel A.Munoz

Miguel A. Muñoz is a Full Professor in Physics at the University of Granada (Spain). He is an expert in statistical mechanics and has worked on, among other issues, non-equilibrium phase transitions, critical and collective phenomena and stochastic processes. In particular, he helped develop the theory of ”self-organized criticality” and different approaches towards the study of non-equilibrium phenomena, network theory, and complex systems. His research interests span from fundamental principles of statistical mechanics to interdisciplinary problems in evolutionary biology, theoretical ecology and systems neuroscience.



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Federico M.Stefanini

Federico M. Stefanini is Associate Professor of Statistics at the University of Milan, where he develops statistical models, algorithms and open source software to support decision making in biomedical and agro-technological fields. Probabilistic graphical models and Monte Carlo computation are key tools in his research focused on the extraction of information from experimental and observational data, on the integration of heterogeneous sources of information, and on the elicitation of expert beliefs. After earning a PhD in Applied Statistics, he worked at the Depatment of Statistics, Computer Science, Applications (University of Florence) untill year 2021. He recently moved to the Department of Environmental Science and Policy, Milan.




Marco Scutari

Marco Scutari is a Senior Researcher at Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Switzerland. He has held positions in Statistics, Statistical Genetics and Machine Learning in the UK and Switzerland since completing his Ph.D. in Statistics in 2011. His research focuses on the theory of Bayesian networks and their applications to biological and clinical data, as well as statistical computing and software engineering.






Irene Margiolaki

Irene Margiolaki is currently employed as an Associate Professor in the field of "Biochemistry: Structure and Function of Proteins." at the Department of Biology of the University of Patras (UPAT, Patras, Greece). She graduated in Physics in 1999 (University of Crete, Heraklion, Greece). Her D.Phil. thesis on “Structural, Magnetic and Dynamic properties of fullerene-based materials” was completed in 2004 at the Department of Physics, Chemistry and Environmental Sciences, of the University of Sussex, UK (official date of graduation: 20 February 2004). During the period, 2003-2010, she has been employed, initially as a post-doctorate fellow and later as an instrument scientist, by the European Synchrotron Radiation Facility (ESRF), in Grenoble, France. An important part of her research at the ID31 High-resolution powder diffraction beamline (recently moved to ID22 station) of the ESRF (2003-2010) and future research activities is the development of innovative powder diffraction methods for the structural characterization of biological macromolecules when data-quality single crystals for X-ray crystallography cannot be obtained. Since 2010, she leads her 15 member research team. In 2013 she inaugurated an X-ray crystallography laboratory at the Department of Biology equipped with 2 modern diffractometers for single crystal and powder diffraction measurements. In 2015, she created a station for protein expression, purification, and crystallization at the same department.




Gino Cattani

Gino Cattani is Professor of Strategy and Organizations at the Stern School of Business, New York University. He received an M.A. in Management Science and Applied Economics from the Wharton School at the University of Pennsylvania in 2001 and a Ph.D. in Management from Wharton in 2004. His research focuses primarily on creativity, innovation, social network, and social evaluation. In his research, he makes use of a variety of different methods – from historical case studies, to large sample studies, to lab experiments and simulation – to examine the conditions facilitating the generation of novelty (e.g., an idea, product or technology) and how the recognition of this novelty is then shaped by the features of the evaluating social audiences (e.g., peers, critics or users). His research has been published in American Sociological Review, Administrative Science Quarterly, Strategic Management Journal, Academy of Management Journal, Research Policy, Strategy Science, Industrial and Corporate Change, and Organization Science, where he also served as Senior Deputy Editor. He also serves as Associate Editor at Management Science and Strategic Management Journal, and as Senior Editor at Industrial and Corporate Change. He has been an active member of the Academy of Management Association since 1999.



Ilias Kazanis

Dr Ilias Kazanis is lecturer in Developmental Biology at the Department of Biology at the University of Patras and visiting senior Research Associate at the Wellcome-MRC Cambridge Stem Cell Institute. He read Biology at the University of Patras and obtained his PhD on traumatic brain injury at the Mediacal school of the University of Athens. He then started working on the embryonic development of the nervous system at Imperial College London and at the University of Cambridge. The last 15 years he has focused his work on the biology of postnatal brain Neural Stem Cells. He is investigating the basic biology of their regulation, especially within the microenvironment of stem cell niches, and the possibility to harness their regenerative potential for the treatment of neurodegeneration.








Alessandro Pluchino

Alessandro Pluchino is professor of theoretical physics, mathematical methods and models, at the Department of Physics and Astronomy "E.Majorana" of the University of Catania. He is also local coordinator of LINCOLN, an INFN permanent project about complex networks, member of the Complex Systems Society and the Società Italiana di Fisica, and academic editor of several scientific journals, among which PLOSONE, ENTROPY and FRONTIERS IN PHYSICS. His research activity mainly focuses on mathematical and computational models of complex systems, but it also covers fundamental physics, non-equilibrium statistical mechanics, dynamical systems and complex networks, with interdisciplinary applications to biological, geological, ecological, economic and social systems. He is also involved on developing optimization models, with applications to management, engineering, infrastructures, energy and transportations. Author of more than 100 scientific publications, among which several books either for specialistic or interdisciplinary readers, in 2010 he was awarded, with Andrea Rapisarda and Cesare Garofalo, of the Ig-Nobel Prize for Management at Harvard University and MIT. Recently, on September 2022, he received a second Ig-Nobel prize, this time for Economics, again with Andrea Rapisarda and with the economist Alessio Emanuele Biondo.

More info at: www.pluchino.it




Rossella Rizzo

Rossella Rizzo is a mathematician and assistant professor in Applied Mathematics at the Department of Engineering, University of Palermo, Italy, awarding a grant on European Funds. She currently works on Turing instability and pattern formation for reaction-diffusion (RD) systems in brain dynamics. Her primary research goal is to study chemotactic RD systems to model multiple sclerosis lesions formation and understand under which conditions the system evolves towards coherent structures corresponding to the lesions visible in the brain magnetic resonance images (MRI). Dr Rizzo completed her PhD in Science and Engineering (specialization in Applied Mathematics) at University of Calabria, Cosenza, Italy, with excellent grades in 2020, working on the identification of brain structures to improve the knowledge of cerebral morphometry and the processing capacity of software for brain imaging. In 2018 Rossella joined Prof. Robert Whelan’s group at the Trinity Institute of Neuroscience (TCIN) as Visiting Researcher to conduct research on unhealthy ageing within the BrainPAD project. Between 2018 and 2020 Rossella worked, and since then collaborates with Prof. Plamen Ivanov’s group at the Keck Laboratory for Network Physiology at Boston University, applying cross-correlation functions and statistical analysis to understand dynamical interactions between the brain and the locomotor system during different sleep stages in healthy and Parkinson’s subjects. Between 2020 and 2021 Dr Rizzo worked as a Postdoctoral Research Fellow in the FRAILMatics Research Group, under the direction of Prof. Roman Romero–Ortuno, at The Irish Longitudinal Study on Ageing (TILDA). There, she worked on cognitive data for older people, applying big data analysis, computational modeling and machine learning techniques to identify in a large population-based study participants who are at high risk of mobility and cognitive decline and consequential loss of independence. Dr Rizzo contributed to various conferences with talks, posters, and abstracts, organized conferences and summer schools, has received international awards, and has published on different high impact factor peer-reviewed journals. She is review editor in Frontiers in Network Physiology and Frontiers in Fractal Physiology, and referee for Physiological Measurements, Scientific Report and Physics in Medicine.

Email: rossella.rizzo@unipa.it