果酱视频官网

Research Overview

I am a Senior Lecturer at 果酱视频官网, where I co-direct the and lead the . I am also affiliated with the Data Science and AI Institute. I currently serve as associate editor at and area chair for . I was awarded my PhD in 2014 from the .

My research investigates how complex systems coordinate high-dimensional physical dynamics to generate precise behaviour. I focus on spoken language, a system in which the speaker must rapidly control vocal tract movements to generate meaningful acoustic signals that are a nonlinear consequence of those movements. This makes speech a wonderful test case for understanding the dynamics of control in complex systems more generally. I study this using a combination of vocal tract imaging (MRI, ultrasound, electromagnetic articulography) and computational modelling. My research is funded by (2019-25) and (2025-27) and currently focuses on the following areas:

• Data-driven discovery of dynamical laws. My primary research goal is to uncover the dynamical principles that structure speech communication. My previous work discovered dynamical laws that govern speech movements (see , and ). My current research is developing new approaches to inferring time-varying control structures from data (with Aneta Stefanovska).

• Interpretable acoustic-articulatory inversion. We are developing physics-informed machine learning for building interpretable models that link speech acoustics to vocal tract movements and the underlying control dynamics of speech (with ).

• Articulatory dynamics across speakers and languages. I use vocal tract imaging to study how speakers coordinate articulatory movements during speech, and to test predictions from dynamical models. A central question is whether speakers and languages differ in their dynamical organization, and whether this results in different articulatory strategies (with ).