Mattia Desana
About Mattia Desana
Mattia Desana is a Senior Staff Software Engineer and Machine Learning Chapter Lead at Scandit, where he has worked since 2021. He holds a Bachelor's degree in Computer Engineering and two Master's degrees in Robotics Engineering, as well as a PhD in Machine Learning.
Work at Scandit
Mattia Desana has been employed at Scandit since 2017, holding various roles that reflect his expertise in machine learning and computer vision. He started as a Mobile Machine Learning Engineer, progressing to Tech Lead for a brief period in 2019. He then served as Chapter Lead for Machine Learning from 2019 to 2021. Currently, he is the Senior Staff Software Engineer and Machine Learning Chapter Lead, a position he has held since 2021. His work is conducted remotely from Genoa, Liguria, Italy, contributing to Scandit's machine learning initiatives.
Education and Expertise
Mattia Desana holds a Bachelor's degree in Computer Engineering from the University of Genoa, completed between 2007 and 2010. He furthered his education with two Master's degrees in Robotics Engineering, one from the University of Genoa and another from Ecole Centrale Nantes, both achieved from 2010 to 2012. He earned his PhD in Machine Learning from Heidelberg University, studying from 2013 to 2017. His educational background supports his strong focus on machine learning and computer vision.
Background
Mattia Desana has a diverse professional background that includes international experience. He worked as a Research Student at Keio University in Japan for five months in 2012 and spent one month as a Research Student at Helsinki Metropolia University of Applied Sciences in Finland in 2010. He also worked as an AI Programmer at Milestone s.r.l. in Germany for six months in 2013. His PhD studies at Heidelberg University lasted from 2013 to 2017, where he focused on machine learning.
Achievements
Throughout his career, Mattia Desana has made significant contributions to the field of machine learning and computer vision. His roles at Scandit demonstrate his leadership in machine learning initiatives. His academic achievements include multiple degrees in engineering and a PhD, which underpin his technical expertise. His passion for programming enhances his capabilities in machine learning, making him a valuable asset in his field.