Gabriele Sottocornola is an applied scientist with a PhD in Computer Science and eight years of experience translating machine learning research into product-ready solutions, currently working at Koa Health in Italy. His academic work—culminating in a distinction-awarded PhD thesis on decision support for diagnosing post-harvest apple diseases—reflects deep expertise in ML for real-world, domain-specific problems. He moved from postdoctoral research into industry roles and consulting, blending rigorous experimental methods with pragmatic deployment for health and agricultural applications. Skilled in bridging research and engineering, he has a track record of taking complex models from prototyping to stakeholder-facing systems. Colleagues value his ability to pair scientific rigor with clear product impact and to navigate both academic and commercial environments.
8 years of coding experience
1 year of employment as a software developer
Laurea Magistrale LM in scienze e tecnologie informatiche, Informatics, 110L, Laurea Magistrale LM in scienze e tecnologie informatiche, Informatics, 110L at Università degli Studi di Milano-Bicocca
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Gabriele Sottocornola - Applied Scientist at Koa Health