香蕉视频

Director of Data Science and Research at LANDR, Nathanael and his team are developing products to help musicians in their creative journey. For instance, Nathanael applies machine and deep learning algorithms for audio processing, recommendation systems and sample annotation. In close relation with customers, Nathanael develops new prototypes using design thinking methodology.

Nathanael is an expert in productization using both big data solutions and machine learning algorithms. Since 2006, Nathanael has been using machine learning algorithms to tackle a large variety of problems, such as drug design, side effect prediction, computational biology, finance, security, precision agriculture, crime forecast, predictive maintenance, matching customers and optimization of audio processing.