Arnaud Tournier

Arnaud Tournier has extensive research experience in the field of machine learning and deep learning. Arnaud is currently working at Neural Concept as an ML Research Scientist since December 2022. Prior to this, they worked at Imperial College London from January 2022 to December 2022 as a Postdoctoral Research Associate. In this role, they focused on meta-learning, deep learning, synthetic head-related transfer functions, and spatial audio as part of the Neural Reckoning group led by Dr. Dan Goodman. Arnaud was also involved in the SONICOM project, a European network for immersive audio in AR/VR environments led by Dr. Lorenzo Picinali. Before their postdoctoral role, Arnaud worked as a PhD student at Imperial College London from October 2017 to November 2021. Arnaud'sresearch was supervised by Dr. Yves-Alexandre de Montjoye, with a committee including Prof. Andrea Cavallaro (Queen Mary University of London) and Dr. [no name provided]. Additionally, Arnaud worked as a Graduate Teaching Assistant from October 2017 to May 2020 during their PhD studies.

Arnaud Tournier completed their education in a chronological manner. Arnaud started at Lycée Victor Hugo from 2012 to 2014, where they pursued Classes préparatoires MPSI-MP*, specifically focusing on Mathematics, Physics, and Computer Science. Following that, from 2014 to 2017, they attended CentraleSupélec, earning a degree known as Centralien engineer (ECP2017) - eq. MSc in Engineering. During their time at CentraleSupélec, they studied Physics, Mathematics, and Computer Science. In 2015, Arnaud Tournier enrolled at Paris-Sud University (Paris XI), where they obtained a Master of Science in Mathematics, which they completed in 2016. The following year, they pursued a Master of Science in Mathematical Statistics and Probability at Pierre and Marie Curie University from 2016 to 2017. Lastly, from 2017 to 2021, Arnaud Tournier attended Imperial College London, where they obtained their Doctor of Philosophy - PhD degree in Artificial Intelligence.