People

Guido Tiana Principal Investigator guido.tiana@unimi.it +39-0250317221
Costanza Paternoster postdoc (guest) costanza.paternoster@ieo.it +39-0250317717
Edoardo Marchi postdoc (guest) edoardo.marchi@ie-freiburg.mpg.de +39-0250317717
Alessandro Zambon Ph. D. student alessandro.zambon@unimi.it +39-0250317717
Andrea Sana M. Sc. student andrea.sana@studenti.unimi.it +39-0250317654
Caterina Zaccone M. Sc. student caterina.zaccone@studenti.unimi.it +39-0250317717
Federico Sanchini M. Sc. student federico.sanchini@studenti.unimi.it
Luca Ghiringhelli M. Sc. student luca.ghiringhelli@studenti.unimi.it +39-0250317717

Former members

  • Alberto Lazzeri, B. Sc. student (2024), Invariant representation of molecules by machine learning
  • Alessandro Pandolfi, M. Sc. student (course in Bioinformatics for Computational Genomics) (2025), Predicting interactions between transcription factors and dna through equivariant graph neural networks
  • Alessandro Sanzeni, Ph. D. Student (2016), Theoretical physics modelling of neurological problems
  • Alessandro Zambon, M. Sc. student (2023), Exploration of high-fitness regions in protein sequences space through artificial-intelligence techniques
  • Alessio Guidarelli, M. Sc. Student (4/4/2019), Machine learning techniques to analyse protein conformations
  • Andrea Contini, M. Sc. student (15/4/2015), Analysis of frustration in proteins from coevolutionary data [Download]
  • Andrea Contini, B. Sc. student (2011), Studio di un modello a dettaglio atomico per il ripiegamento delle proteine
  • Andrea Possenti, M. Sc. student (4/2016), Study of the amount of information contained in protein structures
  • Andrea Scaioli, B. Sc. student (4/2024), Studio degli eventi che inducono il folding di proteine con metodi di machine learning
  • Anna Fancelli, B. Sc. Student (7/2016), Studio di un modello stocastico per l’espressione genica
  • Anna Maria Gambaro, B. Sc. student (2010), Parametrizzazione di un modello structure-based per il ripiegamento delle proteine
  • Anna Pivetta, M. Sc. student (2021), A study on protein evolution by artificial-intelligence techniques
  • Camilla Ugolini, M. Sc. Student (4/4/2019), Study of a simplified model to describe chromosome conformations
  • Costanza Paternoster, M. Sc. Student (2021), A data-based model to study DNA-protein interaction
  • Cristina Paissoni, M. Sc. student (22/11/2012), Sviluppo di un codice per la simulazione del ripiegamento delle proteine
  • Damiano Andreghetti, B. Sc. Student (04/2020), Studio di network d'interazione in proteine
  • Daniele Oriani, M. Sc. Student (01/2020), Study of protein coevolution from a non-equilibrium perspective
  • Davide Aguglia, M. Sc. student (12/2024), Study of the Evolution of the human Superoxide Dismutase protein by Large Language Models
  • Edoardo Marchi, Ph. D. student (12/2024), Theoretical Modeling of Chromatin Dynamics
  • Eugenio Colnaghi, M. Sc. student (12/2024), Bidispersity effects in depletion-induced polymer collapse
  • Filippo Cola, Ph. D. Student (2018), Dynamical feedback models in cellular biophysics
  • Filippo Donarini, M. Sc. student (3/2024), Predicting patient response to hypopharynx and larynx cancer treatment using machine learning techniques.
  • Filippo Marchetti, M. Sc Student (10/2015), Modelling genetic regulatory networks with delay
  • Flavio Pecis, B. Sc. student (2023), Study of interactions in sars cov2 spike proteinby means of coevolutionary inference method
  • Francesco Borando, M. Sc. Student (2024), Study of an effective model for describing the interactions in chromatin
  • Francesco Righini, M. Sc. student (12/2024), Computational study of denatured states of structured proteins and ensemble of intrinsically disordered proteins
  • Francesco Villa, M. Sc. student (15/4/2015), Development of a computational algorithm to study protein aggregation
  • Giulia Franco, B. Sc. Student (2018), Studio dell’interazione tra amminoacidi da dati coevolutivi a diversi gradi di approssimazione [Download]
  • Giulia Sormani, M. Sc. student (15/4/2015), Dynamic models for bistability in epigenetics
  • Giulia Sormani, B. Sc. student (18/12/2012), Studio computazionale di una proteina natively unfolded
  • Linda Cesari, B. Sc. Student (2021), A benchmark calculation of reproduction numbers in Covid19 epidemics
  • Linda Maldera, B. Sc. Student (15/4/2019), Studio del rate di divergenza delle proteine del virus HIV nello spazio delle sequenze
  • Luigi Bonati, B. Sc. student (2015), Un modello semplificato per studiare la struttura della cromatina
  • Mara Villa, B. Sc. student (2010), Ottimizzazione di un algoritmo di simulated tempering
  • Marco Arrighetti, M. Sc. Student (07/2020), A simplified model for pH-induced activation of Influenza Hemagglutinin
  • Martina Caldarini, post-doc (2013),
  • Martina Crippa, B. Sc. student (26/4/2017), Analisi evolutiva del grado di frustrazione nelle proteine
  • Martina Crippa, M. Sc. Student (04/2020), Molecular models for loop-extrusion dynamics in chromatin
  • Matteo Bonamassa, M. Sc. Student (4/2021), Dimensionality reduction of protein binding sites by machine learning techniques
  • Matteo Cagiada, M. Sc. Student (January 2019), Numerical solution of inverse Potts models to predict interaction energies in biomolecules
  • Matteo Maria Bonamassa, B. Sc. Student (24/4/2018), Analii di traiettorie di proteine con metodi di machine learning [Download]
  • Matteo Negri, M. Sc. Student (2017), Spontaneous domain formation in a simple model of disordered heteropolymers [Download]
  • Matteo Tajana, M. Sc. Student (2022), Statistical-mechanical properties of amino-acid interaction networks
  • Monica Erica Sardena, B. Sc. student (2022), Studio dell'interazione tra amminoacidi della emagglutinina attraverso Boltzmann Machines
  • Paolo Bertollo, M. Sc.student (21/7/2014), Studio di un modello per descrivere cambiamenti conformazionali in proteine
  • Piero Valena, M. Sc. Student (2017), Development of a model to study the thermodynamics of large protein systems [Download]
  • Piersilvio Longo, M. Sc. Student (2017), Development of computational methods for the study of thermodynamic equilibrium of mammalian chromatin [Download]
  • Pietro Sormanni, M. Sc. student (2011), Building a model for protein folding with non-native interactions
  • Riccardo Beccaria, B. Sc. Student (2021), Modello efficace d’acqua per biomolecole sviluppato attraverso meccanica statistica e machine learning.
  • Riccardo Beccaria, M. Sc. student (2023), Machine Learning for Molecular Free Energy Models
  • Riccardo Capelli, Ph. D. Student (2017), Computational modeling of proteins:from statistical mechanicsto immunology [Download]
  • Riccardo Capelli, M. Sc. student (12/2/2014), Building a model to describe the equilibrium state of small proteins
  • Roberto Meloni, Ph. D. Student (2017), Computational studies of the denatured states of proteins
  • Sara Lui, M. Sc. student (23/7/2013), Studio delle energie di stabilizzazione delle proteine a partire da dati di coevoluzione
  • Sara Terzoli, B. Sc. student (26/4/2017), Studio di un modello stocastico per la trascrizione e l’esportazione dell’mRNA nel citoplasma [Download]
  • Sara Terzoli, M. Sc. Student (01/2020), Study of the interaction between cadherins with coevolutionary algorithms
  • Saverio Pellegatta, B. Sc. student (2025), Training an artificial neural network by partial gradient descent
  • Stefano Franzini, B. Sc. Student (15/10/2015), Use of effective potentials in the study of the stability of Influenza A Hemagglutinin
  • Tommaso Talpo, B. Sc. student (5/2024), A model for bistability in the methylation of chromatin
  • Valentina Naddeo, post-doc (2013),
  • Yinxiu Zhan, M. Sc. student (2015), Computational study of conformational fluctuations of chromatin based on Hi-C data