My name is Sertan Şentürk. I am a lead data scientist at Kobalt Music, specializing in research & development on music information retrieval.
My work involves developing signal processing and machine learning-based methodologies to automatically describe and discover music. Throughout the years, I have worked on creating robust and scalable solutions for a vast number of tasks such as named entity recognition, audio-score alignment, automatic genre & mode classification, music structure analysis, and audio fingerprinting.
In February 2017, I obtained my Ph.D. degree in Information and Communication Technologies from the Music Technology Group in Universitat Pompeu Fabra, Spain. I received my MSc. degree in Music Technology from Georgia Institute of Technology, the USA in 2011, and my BSc. degree in Electrical and Electronics Engineering from Middle East Technical University, Turkey in 2009. I have also completed a four-year, part-time classical guitar program from Hacettepe University Ankara State Conservatory in 2009.
I play classical guitar. I have an interest in contemporary electronic music and I have been part of some electronic music performances, e.g. in laptop orchestras. I also write popular articles about music and technology.