Foto del docente

Daniel Remondini

Professor

Department of Physics and Astronomy

Academic discipline: FIS/07 Applied Physics

Research

Keywords: Network Theory Advanced Data Analysis Systems Biology Bioinformatics Stochastic modelling Biophysics

Study of biological complex systems (brain network, immune systems, interactome) with stochastic and network-based models.

Design and analysis of experiments on cell activity (Patch Clamp Recording, Functional Imaging) at the Biophysics Laboratory of Physics Department

Modelling and analysis of biological data (omics, next-generation sequencing, brain fNMR) with advanced and original methods.

Application of Data Analytics models, Machine Learning, Deep Learning, Artificial Intelligence to industrial topics (sensor fusion, predictive maintenance, automated diagnostics)

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