Simone Zamboni
About Simone Zamboni
Simone Zamboni is a Machine Learning Research Engineer at Embark Studios, where he applies deep learning research to enhance video game interactivity. He has a strong educational background with degrees in Information and Business Organization Engineering and Autonomous Systems from Università di Trento and KTH Royal Institute of Technology.
Current Role at Embark Studios
Simone Zamboni currently holds the position of Machine Learning Research Engineer at Embark Studios, a role he has occupied since 2022. In this capacity, he applies the latest research in deep learning to improve the interactivity and enjoyment of video games. His work contributes to the development of innovative gaming experiences, leveraging advanced machine learning techniques to enhance user engagement.
Previous Experience at Scania Group
Before joining Embark Studios, Simone Zamboni worked as a Machine Learning Engineer Intern at Scania Group in 2020 for a duration of five months. This internship took place in Södertälje, Stockholm County, Sweden, where he gained practical experience in machine learning applications within the automotive industry. His contributions during this period supported the development of intelligent systems.
Educational Background in Engineering
Simone Zamboni has a strong educational foundation in engineering. He earned a Bachelor's Degree in Information and Business Organization Engineering from Università di Trento, studying from 2015 to 2018. Following this, he pursued a Master’s Degree in Autonomous Systems, which he completed in 2020. He also holds a Double Master Degree in Autonomous Systems from KTH Royal Institute of Technology, further enhancing his expertise in mechatronics and machine learning.
Experience in Software Development
Simone Zamboni has a diverse background in software development. He worked as a Software Developer Intern at OKKAM s.r.l. for three months in 2018 and as a Back-end Developer at DW Informatica S.p.A for two months in 2017. Additionally, he served as a Machine Learning Developer at Substorm from 2020 to 2022, where he further developed his skills in machine learning and software engineering.
Research Contributions
Simone Zamboni has published a journal research article based on his master thesis while at Scania. This publication reflects his commitment to advancing knowledge in the field of machine learning and its applications. His research work contributes to the academic community and supports ongoing developments in intelligent systems.