Brussels / 1 & 2 February 2020


Corvin Jaedicke

Photo of Corvin Jaedicke

Corvin is on a mission to hone his skill and understanding of Deep Learning on audio data - his tools of choice are Python and TensorFlow. With a background in Music Information Retrieval, his first love was developing models for Automatic Instrument Transcription. Currently, he is working as a Data Scientist for AIM @Deutsche Bahn in Frankfurt, where he helps develop methods to make predictive maintenance based on sound data of heavy machinery a reality for clients in- and outside the DB group.


Title Day Room Track Start End
Predictive Maintenance
from milliseconds to months
Sunday UB5.132 HPC, Big Data, and Data Science 12:00 12:25