Spyridon Stasis
About Spyridon Stasis
Spyridon Stasis is a Machine Learning Engineer with a PhD in Computer Science (Audio Research) from Birmingham City University. He has experience as a Graduate Research and Teaching Assistant and has worked at MUSIC Tribe since 2018.
Work at MUSIC Tribe
Spyridon Stasis has been employed at MUSIC Tribe as a Machine Learning Engineer since 2018. His role involves applying machine learning techniques to enhance audio technology and product development. He contributes to projects that leverage data-driven insights to improve user experiences and optimize performance across various audio systems.
Education and Expertise
Spyridon Stasis holds a Doctor of Philosophy (PhD) in Computer Science with a focus on Audio Research from Birmingham City University, which he completed from 2014 to 2018. He also earned a Bachelor of Science (BSc Hons) in Sound Engineering and Production from the same institution, studying from 2010 to 2014. His educational background equips him with a strong foundation in both sound engineering and machine learning.
Background
Spyridon Stasis completed his high school education at Leonteio Lykeio Nea Smyrnis, where he obtained a High-School Diploma from 1996 to 2008. Following his secondary education, he pursued higher education at Birmingham City University, leading to his specialization in sound engineering and computer science.
Previous Experience at Birmingham City University
Before joining MUSIC Tribe, Spyridon Stasis worked at Birmingham City University as a Graduate Research and Teaching Assistant from 2014 to 2018. In this role, he supported academic research and assisted in teaching, gaining valuable experience in both educational and research environments.