Alessia Annibale | Statistical Physics | Best Researcher Award

Posted on by ScienceFather

Dr. Alessia Annibale | Statistical Physics | Best Researcher Award

Dr, King’s College London, United Kingdom

šŸ‘©ā€šŸ”¬Dr. Annibale, a Senior Lecturer at Kingā€™s College London, emerged from the esteemed group of Nobel laureate Giorgio Parisi at Sapienza University in Rome. Renowned for her groundbreaking contributions to spin-glasses, complex networks, and nonequilibrium statistical physics, she excels in both theoretical frameworks and practical algorithms. Her recent book, co-authored for Oxford University Press, delves into the intricacies of complex networks theory. With expertise in statistical mechanics, she investigates how network structures impact diverse processes like information processing and epidemic spreading. Dr. Annibale pioneers statistical physics methods in understanding the resilience of parallel information processing in machine learning. Exploring biological information processing systems, she utilizes spin-glasses and neural networks theory to decipher cellular thinking and gene-regulatory networks. Her work, published in esteemed journals and recognized in editorā€™s selections nine times, recently earned her a provisional selection for the Best Researcher Award at the International Young Scientist Awards. Her groundbreaking research on dynamically selected steady states in non-reciprocal networks expands the understanding of disordered systems, bridging equilibrium spin-glasses and dynamical systems theory.šŸŒŸ

Profile

Scopus

Orcid

Scholar

Main Research Themes and Expertise šŸ§ šŸ”¬

  1. Equilibrium Analysis of Complex Systems
    • Investigates processes on networks such as spin models, Kuramoto oscillators, and epidemic spreading.
    • Explores disordered systems including Neural Networks and Spin-glasses, employing supersymmetric approaches.
  2. Non-equilibrium Analysis of Complex Systems
    • Develops methods like Dynamical cavity and Generating functional analysis.
    • Applies Markov models to stochastic trajectories, studying aggregation, fragmentation, and exchange processes.
    • Examines glassy dynamics, coarsening processes, and fluctuation-dissipation violations.
  3. Networks and Graphs
    • Utilizes null models for network characterization and studies network dynamics.
    • Investigates sampling and inference techniques in network analysis.

Education šŸ“š

PhD in Applied Mathematics, King’s College London (UK), 2004-2007 Thesis on fluctuation-dissipation relations and heterogeneities in coarsening systems. MSci in Theoretical Physics, University of Rome (Italy), 1998-2003 Explored the complexity in the Sherrington-Kirkpatrick model using supersymmetric calculations.

Academic Employment šŸ’¼

Senior Lecturer at Kingā€™s College London, with extensive teaching and supervisory roles. Directed and coordinated various academic programs and doctoral training initiatives.

Key Duties

  1. Leadership roles in academic programs and doctoral training initiatives.
  2. Extensive teaching and supervision of undergraduate and postgraduate students.
  3. Involvement in research projects and committees.

Publications Top Notes šŸ“

  1. Title: Immune networks: multitasking capabilities near saturation
    • Authors: E Agliari, A Annibale, A Barra, ACC Coolen, D Tantari
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2013
    • Volume: 46
    • Issue: 41
    • Pages: 415003
    • Citations: 76

 

  1. Title: Constrained Markovian dynamics of random graphs
    • Authors: ACC Coolen, A De Martino, A Annibale
    • Journal: Journal of Statistical Physics
    • Year: 2009
    • Volume: 136
    • Pages: 1035-1067
    • Citations: 65

 

  1. Title: Tailored graph ensembles as proxies or null models for real networks I: tools for quantifying structure
    • Authors: A Annibale, ACC Coolen, LP Fernandes, F Fraternali, J Kleinjung
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2009
    • Volume: 42
    • Issue: 48
    • Pages: 485001
    • Citations: 61

 

  1. Title: Extensive parallel processing on scale-free networks
    • Authors: P Sollich, D Tantari, A Annibale, A Barra
    • Journal: Physical review letters
    • Year: 2014
    • Volume: 113
    • Issue: 23
    • Pages: 238106
    • Citations: 60

 

  1. Title: Immune networks: multi-tasking capabilities at medium load
    • Authors: E Agliari, A Annibale, A Barra, ACC Coolen, D Tantari
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2013
    • Volume: 46
    • Issue: 33
    • Pages: 335101
    • Citations: 38

 

  1. Title: Spin, bond and global fluctuationā€“dissipation relations in the non-equilibrium spherical ferromagnet
    • Authors: A Annibale, P Sollich
    • Journal: Journal of Physics A: Mathematical and General
    • Year: 2006
    • Volume: 39
    • Issue: 12
    • Pages: 2853
    • Citations: 36

 

  1. Title: Protein networks reveal detection bias and species consistency when analysed by information-theoretic methods
    • Authors: LP Fernandes, A Annibale, J Kleinjung, ACC Coolen, F Fraternali
    • Journal: PloS one
    • Year: 2010
    • Volume: 5
    • Issue: 8
    • Pages: e12083
    • Citations: 30