Danya Kuzin

Danya Kuzin is an applied AI researcher at Oxford University, working on the Ecoacoustic Data Analytics project. With a PhD in machine learning and a background in Bayesian methods, deep learning, and computer vision, Danya develops advanced AI techniques to analyze complex natural soundscapes. His work focuses on extracting ecological insights from passive acoustic recordings by identifying species, distinguishing between biotic and abiotic sounds, and detecting anomalies. He is involved in the design of classification systems, contrastive learning pipelines, and source separation models to improve biodiversity monitoring. His broader research experience includes satellite imagery analysis, probabilistic modeling, and computer vision.