typo in bio (#21)

Author: jorshi

intro.md

@@ -79,7 +79,7 @@ jupyter notebook
 
 [*Ben Hayes*](https://benhayes.net/) is a final year PhD student at the Centre for Digital Music’s CDT in Artificial Intelligence and Music, Queen Mary University of London. His research focuses on expanding the capabilities of differentiable digital signal processing by resolving optimisation pathologies caused by symmetry. His work has been accepted to leading conferences in the field, including ISMIR, ICLR, ICASSP, ICA, and the AES Convention, and published in the Journal of the Audio Engineering Society. He has worked as a Research intern at Sony Computer Science Laboratories in Paris and ByteDance's Speech Audio and Music Intelligence team in London. He was also Music Lead at the award-winning generative music startup Jukedeck, and an internationally touring musician signed to R&S Records.
 
-[*Jordie Shier*](https://jordieshier.com/) is a first year PhD student in the Artificial Intelligence and Music (AIM) programme based at Queen Mary University of London (QMUL), studying under the supervision of Prof. Andrew McPherson and Dr. Charalampos Saitis. His research is focused on the development of novel methods for synthesizing audio and the creation of new interaction paradigms for music synthesizers. His current PhD project is on real-time timbral mapping for synthesized percussive performance and is being conducted in collaboration with Ableton. He was a co-organizer of the 2021 Holistic Evaluation of Audio Representations (HEAR) NeurIPS challenge and his work has been published in PMLR, DAFx, and the JAES. Previously, he completed an MSc in Computer Science and Music under the supervision of Prof. George Tzanetakis and Assoc. Prof. Kirck McNally.
+[*Jordie Shier*](https://jordieshier.com/) is a first year PhD student in the Artificial Intelligence and Music (AIM) programme based at Queen Mary University of London (QMUL), studying under the supervision of Prof. Andrew McPherson and Dr. Charalampos Saitis. His research is focused on the development of novel methods for synthesizing audio and the creation of new interaction paradigms for music synthesizers. His current PhD project is on real-time timbral mapping for synthesized percussive performance and is being conducted in collaboration with Ableton. He was a co-organizer of the 2021 Holistic Evaluation of Audio Representations (HEAR) NeurIPS challenge and his work has been published in PMLR, DAFx, and the JAES. Previously, he completed an MSc in Computer Science and Music under the supervision of Prof. George Tzanetakis and Assoc. Prof. Kirk McNally.
 
 [*Chin-Yun Yu*](https://yoyololicon.github.io/) is a first year PhD student in the Artificial Intelligence and Music (AIM) programme based at Queen Mary University of London (QMUL), under the supervision of Dr György Fazekas. His current research theme is on leveraging signal processing and deep generative models for controllable, expressive vocal synthesis. In addition, he is dedicated to open science and reproducible research by developing open-source packages and contributing to public research projects. He received a BSc in Computer Science from National Chiao Tung University in 2018 and was a research assistant at the Institute of Information Science, Academia Sinica, supervised by Prof. Li Su. His recent work has been published at ICASSP.