Fabrice Moriaud

Title: Fabrice Moriaud: Innovator in Neural Network Training for NMR Measurements

Introduction

Fabrice Moriaud is a notable inventor based in Wallisellen, Switzerland. He has made significant contributions to the field of neural networks, particularly in the context of analyzing nuclear magnetic resonance (NMR) measurements. His innovative approach has the potential to enhance the accuracy and efficiency of signal analysis in NMR spectra.

Latest Patents

Fabrice Moriaud holds a patent for a system and method designed to provide provisional training data that enables a neural network to identify signals in NMR measurements. The patent details a process where a plurality of computed NMR raw spectra, each associated with a different NMR active molecule, is utilized. The method involves broadening peaks of the raw spectra to generate broadened spectra, computing integral functions to count protons, and identifying signal intervals to create a training data set for the neural network.

Career Highlights

Throughout his career, Fabrice has worked with prominent companies in the field, including Bruker Switzerland AG and Bruker Biospin GmbH & Co. KG. His experience in these organizations has allowed him to collaborate with leading experts and contribute to advancements in NMR technology.

Collaborations

Fabrice has had the opportunity to work alongside talented individuals such as Christine Bolliger and Oliver Horlacher. These collaborations have further enriched his work and fostered innovation in the field.

Conclusion

Fabrice Moriaud's contributions to neural network training for NMR measurements exemplify the intersection of technology and scientific research. His innovative patent and career achievements highlight his role as a key figure in advancing this important area of study.