Francesco Marrone

Machine Learning Engineer at emotion3D

Francesco Marrone, Ph.D. has a diverse range of work experience in the field of computer vision and deep learning. Francesco currently works at emotion3D as a Software Architect & Lead Software Engineer, starting in March 2023. Prior to this, they were a Computer Vision Deep Learning Engineer at emotion3D from April 2022 to February 2023. Francesco also worked as a Postdoctoral Research Fellow at Politecnico di Torino from February 2022 to March 2022, and as a Doctoral Student from November 2018 to January 2022. During their time at Politecnico di Torino, they also served as a Doctoral Student Lecturer from October 2019 to February 2020 and as a Predoctoral Student from May 2018 to October 2018.

Francesco Marrone also gained industry experience at PBL Srl, where they worked as a Computer Vision Deep Learning Engineer from March 2020 to August 2021. Francesco was also a Computer Vision Engineer at Omnidermal Biomedics s.r.l. from November 2018 to August 2021. Furthermore, they worked as a Visiting PhD Student at IBM in August 2018.

Earlier in their career, Francesco Marrone worked as an Undergraduate Teaching Assistant at Politecnico di Torino from September 2015 to July 2016. Francesco also had a student internship at Magneti Marelli in September and October 2015, where they developed a Linux kernel driver for a prototypal infotainment board.

Overall, Francesco Marrone's work experience spans both academia and industry, with expertise in software architecture, computer vision, deep learning, and teaching.

Francesco Marrone, Ph.D., began their education at Liceo Scientifico from 2007 to 2012. Following this, they attended Politecnico di Torino from 2012 to 2015 where they earned their Bachelor's degree in Electronic engineering. Francesco continued their studies at Politecnico di Torino from 2015 to 2018 where they completed their Master's degree in the same field. Francesco then pursued a Doctor of Philosophy (Ph.D.) at Politecnico di Torino from 2018 to 2022, specializing in Electronic engineering.

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