Enrico Gavagnin

Data Scientist

Nesta

About me

gavagnin.enrico[at]gmail.com
Nesta

I am an applied mathematician currently working to use data science for public good at Nesta. I work as part of the Data Analytics Practice (DAP) to design and apply analytical methods, such as machine learning, agent-based simulations and network science to achieve social impact.

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Research


I am fascinated artificial and collective intelligence and by all sort of biological phenomena in which an organised structure emerges from a collection of simple individuals. I like studying how complex living systems appear, how they evolve and whether is possible to find some universal principles which determine their organisation. I am particularly interested in human and aniaml social dynamics, multicellular development, collective motion and ant colonies which I consider the most incredible living system.

Collective Cell Migration
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Do cells behave collectively?
Ant Social Immunity
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How do ants prevent epidemic outbreaks?
Spatial Pattern Identification
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What does it mean to be spatially clustered?

Career

CurriculumVitae.pdf


  • 2022 - present

    Data Scientist

    Nesta

    Member of the Data Analytics Practice

  • 2020 - 2022

    Research Associate in Biological Sciences

    University of Bristol

    Member of the Ant Epidemiology Lab

  • 2016 - 2020

    PhD student in Mathematical Biology

    University of Bath

    Thesis: “Stochastic multiscale models of cell behaviour"
    Advisors: Dr Christian A. Yates and Prof. Tim Rogers

  • 2014 - 2016

    MSc in Pure and Applied Mathematics

    Università degli Studi di Padova

    Thesis: “A condensation phenomenon in a fitness model with mutation and reinforcement”
    Supervisor: Prof. Paolo Dai Pra

  • 2011-2014

    BSc in Pure and Applied Mathematics

    Università degli Studi di Padova

    Thesis: “A dissipative non-homogeneous Curie-Weiss model”
    Supervisor: Prof. Paolo Dai Pra

Publications


5. "Synchronised oscillations in growing cell populations are explained by demographic noise"
E. Gavagnin, S.T. Vittadello, G. Gunasingh, N.K. Haass, M.J. Simpson, T. Rogers, C.A. Yates. Biophys. J. (2021-in press)

4. "The invasion speed of cell migration models with realistic cell cycle time distributions"
 E. Gavagnin, M.J. Ford, R.L. Mort, T. Rogers, C.A. Yates. J. Theor. Biol. 481, pp.91-99 (2019)

3. "Stochastic and deterministic modeling of cell migration"
E. Gavagnin, C.A. Yates. Elsevier - Handbook of Statistics, vol. 39, 37-91 (2018)

2. "Pair correlation functions for identifying spatial correlation in discrete domains"
E. Gavagnin, J.P.Owen, C.A. Yates. Phys. Rev. E 97, 062104 (2018)

1. "Modeling persistence of motion in a crowded environment: The diffusive limit of excluding velocity-jump processes"
E. Gavagnin, C.A. Yates. Phys. Rev. E 97, 032416 (2018)