projects

• I’m currently working toward developing audio recognition algorithms to identify a variety of European taxa including birds, bats, marine mammals, pollinating insects, and grasshoppers. This work is conducted as part of the HorizonEU projects MAMBO, GUARDEN and TETTRIs.

• Collaborated with Stefan Kahl and Holger Klinck from K. Lisa Yang Center for Conservation Bioacoustics and Tom Denton from Google Brain on a project to investigate the utility of feature embeddings from multiple large scale audio-based deep learning classifiers for varied fine and course-grained bioacoustics classification tasks.

mentorship

• 2024 - Supervising Vincent Kather on his PhD titled “Identifying unknown species and unknown sounds using machine learning”.

• 2024 - Supervising Sophie Van der Voorst and Linde Zandvliet on their project titled “AI-Based Avian Sound Recognition in Transect Monitoring”.

• 2024 - Supervised Syed Aadam Ahmad on his masters thesis titled “Integrating bioacoustics and machine learning for avifauna monitoing in Kashmir”.

• 2023 - Supervised Drew Priebe (Tilburg University) on his BSc thesis titled: “Efficient speech detection in environmental audio using acoustic recognition and model distillation”.

• 2023 - Supervised six students from HvA Amsterdam on their project on automated audio classification titled: “Sing A Song” through ARISE.

Please contact me via email for enquiries about BSc or MSc thesis projects at Naturalis Biodiversity Center.