Andrea Mario Vergani
- PhD Student, Di Angelantonio & Ieva Group
Andrea Mario Vergani is a PhD student in Data Analytics and Decision Sciences at Politecnico di Milano and Human Technopole, where he conducts research about multi-modal representation and integration of complex healthcare data to support cardiovascular risk prediction.
With a Computer Science and Engineering background and research experience in machine learning for animal breeding and genetics, his current interests include health analytics and complex data integration for personalized medicine, medical imaging, explainable artificial intelligence, and clinical decision support.
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04/2024 - ScienceDirect
Predicting bovine daily milk yield by leveraging genomic breeding values
The main goal of this work, conducted on a herd of 502 Holstein cows situated in Italy, is to propose a machine learning-based approach to forecast the individual bovine daily milk production by explicitly leveraging genotypic information. As part of our study, we also evaluated the importance in the prediction of genotypic and phenotypic variables usually available […]