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PiMLB

Our group blends physics, machine learning and biological behavior to ask how organisms acquire and process complex sensory information from their fluid environment to guide behavior. We deploy state-of-the-art simulations and asymptotic models to portray the fluid flows surrounding living organisms. These data feed machine learning algorithms that model behaviors ranging from sensory predictions and navigation to spore dispersal to the formation of complex bacterial colonies. We are interested in model organisms like mice and bacteria as well as less studied organisms like higher fungi, octopus and jellyfish and real weirdos, like piranhas and sea robins (a fish with legs!)

People

  • Alessandro
    Verri

  • Agnese
    Seminara

  • Giovanni
    Minuto

  • Francesco
    Marcolli

  • Francesco
    Boccardo

  • Luca
    Gagliardi

  • Anna
    Khristodulo

Past People

People
  • Martin James | 2022 → 2024 | Post-doctoral fellow | Fluid mechanics and RL for navigation

  • Yujia Qi | 2022 → 2024 | Post-doctoral fellow | Fluid mechanics and RL for navigation

  • Arnaud Ruymaekers | 2023 → 2024 | Research Scholar | Reinforcement Learning

  • Arnaud Ruymaekers | 2023 | Student | Reinforcement Learning

  • Daniele Lagomarsino Oneto | 2023 | Post-doctoral fellow

  • Francesco Marcolli | 2022 → 2023 | Research Scholar | Multiagent RL

  • Nicola Rigolli | 2022 → 2023 | Post-doctoral fellow

  • Gianvito Losapio | 2022 | Research Scholar

  • Andrea Guarnore | 2022 | Student

  • Matteo Ferrari | 2022 | Student

    Research projects

    Most recent PiMLB research projects

    Publications

    Most recent PiMLB publications

    TitleYearAuthorVenue
    Alessandro De Gloria, a Pioneer in Electronic Engineering Applications2024Bellotti F.; Bricco E.; Bruzzone A.; Caviglia D.; Di Zitti E.; Gastaldo P.; Grosso D.; Magnani L.; Olivieri M.; Raggio M.; Valle M.; Verri , et al.International Conference on Applications in Electronics Pervading Industry, Environment and Society, APPLEPIES 2023
    Q-Learning to navigate turbulence without a map2024M Rando M James A Verri L Rosasco A SeminaraArXiv Preprint
    Reconstitution of ORP-mediated lipid exchange coupled to PI4P metabolism2024Fuggetta Nicolas; Rigolli Nicola; Magdeleine Maud; Hamaï Amazigh; Seminara Agnese; Guillaume Drin AndPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
    Impact of Swimmer Dynamics on Odor Transport by Mesoscale Swimmers in Turbulent Environments2024Martin James Francesco Viola Agnese SeminaraEGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7549
    Molecular tuning of sea anemone stinging2023S He Lily; Qi Yujia; AH Allard Corey; A Valencia-Montoya Wendy; P Krueger Stephanie; Weir Keiko; Seminara Agnese; W Bellono NicholasELIFE