People
Marco Cosentino Lagomarsino | Principal Investigator
Theoretical Physicist and qBio enthusiast. Master’s U. Milan, PhD AMOLF and U. Leiden, Postdoc Institut Curie, CNRS@Sorbonne, SPCG since 2018. I like models that guide the understanding of data and the development of new concepts and theories, such as Luria&Delbruck, Random Walk, and Fermi’s liquid drop. I am also a big fan of scaling concepts in just about everything.
Simone Pompei | Senior Post Doc
Statistical Physicist. I work on the interface between statistical physics and quantitative biology, with a particular interest on population genetics and cancer evolution. This connection emerges at two levels: (i) data-driven quantitative approaches towards biological problems are grounded on statistical inference and on information theory and (ii) statistical mechanics provides key tools to model stochastic processes and to develop a coarse grained description of microscopic, or intrinsically noisy, systems.
Rossana Droghetti | PhD
Physicist by training, I am broadly interested in biological questions. Right now I am trying to understand how cells tune their growth strategy in response to perturbations. My approach is quantitative, and sometimes I build models starting from experimental data, sometimes I use theoretical models to trigger new experiments.
Mattia Corigliano | PhD
Theoretical Physicist, cell-cycle guy. I like to address biological questions with tools borrowed from Statistical Physics and Probability Theory. One big question is how a cell decides to become two cells. Another big question is how this decision is coordinated with cell-growth.
Valentina Guarino | PhD
PhD student with a physics background, my goal is to contribute to clinically impactful research. My work primarily focuses on developing mathematical models and performing simulations, complemented by experimental studies in the wet lab on yeast. I am particularly interested in exploring the dynamics of drug-tolerant persister cells and understanding the phenotypes associated to cell-cycle arrested cells.
Andrea Ripamonti | PhD
Half engineer, half physicist, now diving into quantitative biology. I am passionate about proteostasis, how it is maintained, the stressors that challenge it, and the adaptive strategies cells use to preserve balance and function. I like to build mathematical models to explore unanswered questions in the biological literature and to interpret experimental data from the lab.