Filip Korzeniowski

Filip Korzeniowski has worked in various roles across multiple companies since 2010. In 2010, they worked as an Industrial Researcher at Software Competence Center Hagenberg GmbH, where they worked on real-time object tracking in 3D from multiple outdoor video camera streams and implemented a research prototype for high-performance fault detection on images of metal surfaces. From 2011 to 2018, they were a PhD Researcher at Johannes Kepler Universität Linz, researching deep neural networks for acoustic modelling and language modelling of harmonic content in musical audio recordings, as well as Dynamic Bayesian Networks with particle filtering for multi-dimensional sequence alignment. In 2018, they were a Data Science Intern at Pandora. From 2019 to 2022, they worked at Pandora as a Scientist and Senior Scientist, before taking on the role of Lead Data Scientist at Moises in 2022.

Filip Korzeniowski obtained a Bachelor's degree in Computer Science from Johannes Kepler Universität Linz in 2007. Filip then went on to earn a Master's degree in the same field from the same university in 2011. Finally, they completed a Doctor of Philosophy - PhD in Computer Science from Johannes Kepler Universität Linz in 2018.