About me
Hi! You have reached my webpage. Here, it’s about science and music.
I am an audio research scientist working on AI for audio and music. Currently, I am a Senior Audio Research Scientist at Serato in Auckland, New Zealand, where I research next-generation beat detection and low-latency stem separation for DJ and music production tools.
Before Serato, I was a Research Scientist at Emobot working on speech emotion recognition, and before that I managed R&D projects at Arkamys in Paris, working on road noise cancellation for vehicles. Prior to that, I completed my PhD at Télécom Paris and Deezer, supervised by Dr. Gaël Richard and Dr. Geoffroy Peeters from Télécom Paris and Dr. Elena Epure from Deezer. My PhD focused on personalised music auto-tagging and contextual music recommendation.
Prior to joining Télécom Paris, I graduated with a M.Sc. in Computer Science from The National University of Singapore (NUS) where I worked on the problem of singing voice intelligibility. Before that, I finished a M.Sc. in Software Engineering from Nile University, Cairo, where I worked on primary/ambient audio source separation and surround sound upmixing. Additionally, I did a 3-month internship at IBM labs in Singapore working on question answering, and a 6-month thesis internship at Sony’s Stuttgart Technology Group working on source separation.
Research Interests
- Audio source separation and spatial audio
- Music information retrieval (auto-tagging, recommendation, singing voice)
- Speech and music perception, emotion recognition
- Deep learning for audio and music production tools
Beyond Research
- Playing guitar and drums
- Football and squash
- Hiking and camping
News
2025-05-01 Joined Serato as a Senior Audio Research Scientist in Auckland, New Zealand.
2024-04-14 Paper published at ICASSP 2024: Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion. [PDF]
2022-12-04 Paper published at ISMIR 2022: Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts. [PDF]
2021-12-15 Successfully defended my PhD at Télécom Paris on personalised contextual music recommendation! [Thesis]
2020-10-12 Paper published at ISMIR 2020: Should we consider the users in contextual music auto-tagging models? [PDF]
2020-05-01 Paper published at ICASSP 2020: Audio-Based Auto-Tagging With Contextual Tags for Music. [PDF]