Erika Gardini is an Information Technology Teacher and former PhD student in Data Science with eight years of experience at the intersection of machine learning and life sciences. She has developed unsupervised and one-class probabilistic methods, manifold-learning algorithms, and applied them to druggability prediction and cancer progression analysis from transcriptomics and single-cell data. Erika blends academic rigor—MEng with honours and international research experiences—with practical industry exposure as a Machine Learning Engineer at Apple and ML projects at Istituto Italiano di Tecnologia. As an educator and tutor she teaches programming and deep learning, and currently brings that pedagogical skillset to secondary education at MIUR. She is particularly drawn to leveraging AI for medicine and biology and enjoys organizing and leading collaborative, project-driven teams. A subtle strength is her ability to translate complex research methods into teachable concepts and applied tools for non-expert audiences.
8 years of coding experience
4 years of employment as a software developer
Master's thesis, Machine Learning, Master's thesis, Machine Learning at Kaunas University of Technology
Master of Engineering - MEng, Computer Engineering, 110/110 with honours, Master of Engineering - MEng, Computer Engineering, 110/110 with honours at Alma Mater Studiorum – Università di Bologna
Contributions:18 releases, 95 pushes, 1 branch in 5 months
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