Tenure Track Assistant Professor at Università degli Studi di Milano
Milan, Lombardy, Italy
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Summary
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Alessandro D'amelio is a Tenure Track Assistant Professor at the University of Milan with eight years of experience bridging machine learning, computer vision, and Bayesian statistical modeling. His research focuses on probabilistic models of human visual attention, blending theoretical Bayesian tools with practical computer vision applications. He progressed through academia at Milan from PhD to postdoc to faculty, and has taught AI and coding as an adjunct, demonstrating a strong commitment to both research and pedagogy. On GitHub he contributes to applied projects—recently refining tests and demo notebooks in a virtual heart rate Python framework—showing attention to reproducibility and usability in research software. His background combines top academic grades and international research exposure, which underpins a methodical, detail-oriented approach to modeling perceptual processes.
8 years of coding experience
7 years of employment as a software developer
University of Milan
Diploma Istituto Tecnico e Professionale, Informatics, 81/100, Diploma Istituto Tecnico e Professionale, Informatics, 81/100 at I.T.I.S. G.B. Pentasuglia
Contributions:40 commits, 1 PR, 34 pushes in 1 year 4 months
Contributions summary:Alessandro primarily focused on fixing tests and updating demo notebooks within the pyVHR framework. These changes involved modifying existing code, specifically in notebooks, to ensure functionality and accuracy. Further contributions included fixing file names and updating the pipeline and stats code. These modifications suggest a focus on debugging, refinement, and improving the usability of the framework's testing and analytical tools.
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