Gabriele Marini is an Academic Research Data Specialist and computer scientist with 12 years' experience bridging research, software engineering and data analytics across academia and industry. Now at the University of Melbourne's MDAP, he builds scalable data pipelines and mobility models informed by a PhD in ubiquitous computing and hands-on expertise in sensors, distributed systems and real-time processing. His portfolio spans full-stack development—from Python/Django backends and real-time video/pose pipelines to React/TensorFlowJS front-ends—and includes art-science collaborations such as the Stelarc SWARM installation. Known for optimizing large-scale data workflows and pragmatic tooling for research reproducibility, he also brings applied experience from CSIRO/Data61 and industry internships at Nokia Bell Labs. Outside research he’s an avid photographer, surfer and hiker, a detail that often surfaces in his visual-first approach to data storytelling.
12 years of coding experience
3 years of employment as a software developer
Laurea triennale in Scienze e Tecnologie Informatiche, Informatica, 110/110 Cum Laude, Laurea triennale in Scienze e Tecnologie Informatiche, Informatica, 110/110 Cum Laude at Università di Cagliari
The University of Melbourne
Laurea Magistrale LM in scienze e tecnologie informatiche, Master's Degree in Computer Science, 110/110 Cum Laude, Laurea Magistrale LM in scienze e tecnologie informatiche, Master's Degree in Computer Science, 110/110 Cum Laude at Università di Pisa
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