Andrii Nagai
About Andrii Nagai
Andrii Nagai is an Application Engineer at onsemi, with a PhD in Physics from Université Paris-Saclay. He has extensive experience in experimental high energy physics and expertise in Silicon Photo-multipliers (SiPM) applications across various fields.
Work at Onsemi
Andrii Nagai has been employed at Onsemi as an Application Engineer since 2022. In this role, he applies his expertise in Silicon Photo-multipliers (SiPM) devices to various applications. His work involves simulating SiPM performance for medical imaging, with a focus on energy resolution and coincidence time resolution. He contributes to projects that leverage SiPM technology across multiple fields, including medical, bio-medical, and astrophysical applications.
Education and Expertise
Andrii Nagai holds a Doctor of Philosophy (PhD) in Physics from Université Paris-Saclay, which he completed from 2013 to 2016. He also earned a Master's degree in Experimental High Energy Physics from Taras Shevchenko National University of Kyiv between 2011 and 2013, and a Bachelor's degree in Nuclear Engineering from the same institution from 2007 to 2011. His expertise includes the application of SiPM devices and conducting studies comparing SiPM, SPAD, and APDs for LiDAR applications.
Background
Before joining Onsemi, Andrii Nagai worked as a Postdoctoral Researcher at the University of Geneva from 2016 to 2022. His earlier experience includes roles at Laboratoire de l'Accélérateur Linéaire, where he served as a Doctoral Student from 2013 to 2016 and completed multiple internships in 2012 and 2013. He also interned at GSI Helmholtz Centre for Heavy Ion Research in 2010. His academic and professional journey spans several countries, including France, Switzerland, and Germany.
Research and Development Initiatives
Andrii Nagai has been involved in significant research and development initiatives throughout his career. He has a keen interest in the development and application of intraoperative gamma cameras for radioguided surgery. Additionally, he has developed a data analysis procedure specifically for automatic waveform analysis, enhancing the efficiency of data processing in his field. His research includes simulating SiPM performance to improve medical imaging technologies.