Dr. Amélie Anglade has been a Machine Learning and Music Information Retrieval specialist for 20 years, the most recent 10 of which as a freelancer/consultant, successfully working on more than 25 projects in Berlin and remotely. 

She started her career in that field working on research projects at large R&D labs, including Philips Research, Sony CSL and CNRS, before completing her PhD on automated genre classification at Queen Mary University of London. In 2011, she was the first music machine learning hire at SoundCloud. 

Over her career, her focus and passion has been to offer AI/ML solutions to startups, larger companies and institutions almost exclusively in the music and multimedia space. Projects brought her to research and develop solutions in: recommendation/playlisting, search/discovery, fingerprinting, metadata matching, audio feature extraction on large databases, audio transcription, audio-to-score alignment, generative AI solutions for music, etc. 

Over the years, building and managing teams of collaborators, she has been expanding her freelance services beyond R&D and development/deployment, to support Music & AI projects end-to-end: strategy, project and team management, recruitment, teaching, reviewing, etc. 

Expertise: Machine Learning, AI, Music Information Retrieval, DSP

Location: Berlin

Contact Person in the Association: Dr. Amélie Anglade

Homepage: https://amelieanglade.net

Dr. Amelie Anglade music tech expert