Researcher and academic in Deep Machine Learning, Signal Processing, Music Informatics. I work on - analysing and processing signals (audio, images) and symbolic data (language, music) - understanding and improving deep (and non-deep) neural networks. Specialties: Neural-Symbolic Integration, Neural Network Models and Theory, Audio Analysis and Signal Enhancement, Music and Language Models, Multimodal learning and processing, Time Series.
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ReaderCity, University Of LondonLondon, Gb -
ReaderCity, University Of London Aug 2021 - PresentResearch and education in Computer Science, focusing on machine learning, artificial intelligence and data science, mostly applied to language, audio and music, but also to health, finance and engineering. -
Senior LecturerCity, University Of London Aug 2009 - Aug 2021LondonResearch and education in Computer Science, focusing on machine learning, artificial intelligence and data science, mostly applied to language, audio and music, but also to health, finance and engineering. -
LecturerCity, University Of London Apr 2005 - Jul 2009United KingdomResearch and education in Computer Science, focusing on machine learning, artificial intelligence and data science, mostly applied to language, audio and music, but also to health, finance and engineering. -
Director Of Artificial IntelligenceEquitably Ai Jun 2022 - PresentLondon, England, United Kingdom -
ResearcherUniversity Of Osnabrück Sep 1994 - Oct 2004Worked in several projects on music and media computing and information systems.
Tillman Weyde Education Details
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Music Computing -
Computer Science -
Mathematics, Music, Pedagogy, Philosophy
Frequently Asked Questions about Tillman Weyde
What company does Tillman Weyde work for?
Tillman Weyde works for City, University Of London
What is Tillman Weyde's role at the current company?
Tillman Weyde's current role is Reader.
What schools did Tillman Weyde attend?
Tillman Weyde attended Universität Osnabrück, Universität Osnabrück, Universität Osnabrück.
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