Francesco Ferroni

Francesco Ferroni is a highly skilled technical lead and staff engineer with a strong background in the autonomous car industry, focusing on deep learning and computer vision technologies. With a remarkable history of successfully bringing complex products from conception to implementation, Francesco has demonstrated expertise in deploying solutions both in the field on actual robots and in cloud-based environments. His academic journey includes a PhD in Computational Physics from the University of Oxford, an MEng in Mechanical Engineering with 1st Degree Honours from Imperial College London, and an impressive International Baccalaureate score of 43/45 from Impington International Sixth Form. Francesco's research interests extend to stochastic processes forecasting and occasionally collaborating on publications at machine learning and deep learning conferences.

Francesco Ferroni's professional career spans across reputable organizations, currently holding the role of Software Engineering Manager II (Staff Engineer) in the Detection team at Argo AI. Prior to this, he served as Software Engineering Manager I in the Detection division at Argo AI and as a Tech Lead in Machine Learning at Autonomous Intelligent Driving GmbH. His earlier roles include Senior Data Scientist at Siemens, Data Scientist at Faculty, Doctoral Researcher at the University of Oxford, and Robotics Engineer at MiM Lab / Acrobot Company, showcasing a diverse and extensive experience within the tech and automotive sectors.