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Dr Eduardo Coutinho is the Director of the APPLIED MUSIC Research Lab. He is a Senior Lecturer in Music Psychology at the Department of Music from the University of Liverpool. Before his appointment at Liverpool, he worked at the University of Augsburg, Imperial College London, Swiss Center for Affective Sciences and University of Sheffield. Coutinho works in the interdisciplinary fields of Music Psychology and Affective Computing, where his expertise is in the study of emotional expression, perception and induction through music. He has contributed significantly to a broader understanding of the emotional impact of music on listeners, namely on the link between music structure and emotion, the types of emotions induced by music, and individual and contextual factors that mediate the relationships between music and listeners. Currently, his work focuses on the application of music in everyday life (and particularly Healthcare settings).

Music in Everyday Life

Development of methods and tools that allow people to use music for improving different facets of well-being. 

Music and Health

Music listening strategies for coping with health conditions.



Music, Emotion & Cognition

Emotional responses to music and the interactions between emotion and cognition in music (e.g., the impact of music listening on cognitive activities)  

Automated
Music Composition

Algorithms for analysing and composing music with computers (including Machine Learning).

Music Recommendation Systems

Music recommendation systems for exploiting the benefits and mitigating the hindrances of music in everyday life activities. 

Music
Emotion Recognition

Development of systems for automatic content-based music emotion recognition.

Doctoral Students

Bio. Yiting graduated from Northumbria University Newcastle with a BSc in Psychology, and completed an MA in Applied Psychology of Music at the University of Leeds. Towards the end of my Masters' study, She volunteered as a research assistant for an AHRC funded research that explores music listening behaviours of people with hearing aids. After returning to her hometown in Malaysia, she first took up the position of an early childhood educator, and then a Psychology lecturership teaching Quantitative Research Methods in Psychology and the Psychology of Music.  Research. My main research interest is the effect on music listening on cognitive performance, and particularly how melodies influence thought processes. My current project main focus on the study of the interctions between musical aesthetics and cognitive inhibition/flexibility. In the long-run, I plan to devote my research towards understanding the science behind various brain functionings in response to music, as well as how music shapes people's identity and mental schema. 

Yiting Cheah

Ph.D. Candidate

Bio. Mickey Bryan is a composer/musician, music educator and outreach practitioner based in Liverpool. Mickey attended Chetham's School of Music (2003-2008), Trinity Conservatoire of Music and Dance (2008-2012, BMus (Hons) in Composition) and SAE institure (2018, BA in Audio Production). As a composer, Mickey has an extensive portfolio of acoustic and electronic works which have been premiered at venues such as the British Film Institute, RCM, RNCM, Liverpool MET Cathedral and Blackheath Halls. He has also performed alongside some of the UK’s finest classical, pop and jazz musicians in a variety of ensembles, including his own, across the country. Mickey has worked as a music practitioner within a variety of community settings for children and adults, including dementia care, SEND settings, early years, hospitals and schools. Through his work for charities such as Live Music Now and Turtle Key Arts, he has led and co-led numerous projects as a composer and musician. Over the past ten years, he has also taught composition, piano and woodwind for numerous music services, hubs and institutions. He is currently the co-director and teacher for Rise Music Education. Research. My Ph.D. project explores the use of collaborative music composition for people living with dementia. It aims to provide strategies for using group composition in music based interventions in dementia care settings. This project is sponsored by a full scholarship from the Duncan Norman Trust. 

Michael Bryan

Ph.D. Candidate

Bio. Jacopo is a PhD student in Computer Science at the University of Manchester (Machine Learning and Optimisation group and Cognitive Robotics Lab). Prior to his doctoral studies, he received an MSc in Computer Science from Reykjavik University and the University of Camerino, as part of a Double Degree Programme in Artificial Intelligence. His master thesis work combined Agent-Based modelling with Reinforcement Learning techniques for the design and the development of Tangramob, a simulation framework supporting public and private decision makers in the task of shaping smart mobility services in urban areas of interest. Jacopo also received his BSc in Computer Science from the University of Camerino, with a thesis investigating analytical tools for comparing clustering algorithms on different datasets in order to spot their ideal contexts of application. Research. His current project consists in applying machine learning methods in the field of music information retrieval, with the aim of devising new quantitative measures capable of capturing the structural richness and complexity of music in terms of musical form. These measures have the potential to form the basis of an algorithmic composition system, where long-term musical structure of the generated compositions is integrating the learning process as a form of supervision. 

Jacopo de Berardinis

Ph.D. Candidate (University of Manchester)

Bio. Rachael is a professional violinist and current PhD student at the University of Liverpool researching automated composition systems and UK copyright law. Rachael acquired a BMus degree (1st class) from the University of Hull in 2004, where she was awarded the Andrew Brown university prize for outstanding contribution to performance, and later attended the Royal Northern College of Music where she was awarded a Postgraduate Diploma in performance (Merit) at the Royal Northern College of Music in 2005. Rachael continues to work as a professional violinist, enjoying a varied freelance career performing with professional orchestras and ensembles in the UK and internationally, in theatre and as a session musician. Career highlights include touring Canada with jazz pianist David Braid and Sinfonia UK Collective, leading a UK tour and lecture series on Vivaldi’s Four Seasons, and performing as a soloist live on BBC Radio 3. In 2019 Rachael made a return to academia to study for the MA in Music Industry Studies (distinction) at the University of Liverpool. Her master’s thesis focused on theories of liveness and deadness in holographic music performance and the wider implications of holographic artists in the live music industry. Research. Her current doctoral research considers automated composition systems created with machine learning as the music industry’s next disruptive technology which now questions the sustainability of the UK’s current copyright framework, the value of copyright to the music industry and the potential economic, societal and philosophical value of human creativity.

Rachael Drury

Ph.D. Candidate

Collaborators

Chris
Dowrick

Professor
Primary Medical Care
Institute of Population Health Sciences
University of Liverpool

Ross
White

Reader
Clinical Psychology
Institute of Life and Human Sciences
University of Liverpool

Yannis Goulermas

Professor
Computer Science
Department of Computing

University of Liverpool

Kristiaan
D'Août

Senior Lecturer
Musculoskeletal Biology
Institute of Ageing and Chronic Disease
University of Liverpool

Jonathon O'Brien

Occupational
Therapy
School of Health Sciences

University of Liverpool

Tamaya Van Criekinge

Postdoctoral
Researcher
Department of Rehabilitation Sciences 
KU Leuven

Greg Hanford

Music Therapist
VIBE Music Therapy

Alumni

Dr Ayesh Alshukri

Postdoctoral
Researcher (2017-2019)

Dr Maria Momani

Ph.D. awarded in
November 2021

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