
Dr Nicholas Cummins
Senior Lecturer in Speech Analysis and Responsible AI in Health
Pronouns
he/him
Biography
Dr Nicholas (Nick) Cummins is a Senior Lecturer in Speech Analysis and Responsible AI in Health at the Department of Biostatistics & Health Informatics, King’s College London. He leads the Voice and Speech Processing for Health group, which conducts pioneering research integrating speech technologies into clinical research and practice.
Based in the Institute of Psychiatry, Psychology & Neuroscience, Nick brings extensive experience in collecting and analysing speech and provides methodological leadership across large international projects, including RADAR-CNS, CONNECT, AIMS-2-TRIALS, and STORY. He is also a member of the King's Precision Health Informatics Data Lab and CAMHS Digital Lab.
In addition to his academic work, he consults for speech, health and MedTech companies, helping bridge the gap between research and real-world applications.
Nick’s work is guided by a responsible AI framework and combines advanced speech processing, machine learning, statistical analysis, and patient and public involvement. His multidisciplinary approach aims to develop reliable speech-based tools that support innovation in health research and clinical applications.
Nick was awarded his PhD in Electrical Engineering from UNSW Australia in 2016 for his thesis ‘Automatic assessment of depression from speech: paralinguistic analysis, modelling and machine learning’. This was followed by postdoctoral roles at the Universities of Passau and Augsburg, where he contributed to Horizon 2020 projects, and taught speech and AI focused courses.
Research interests
- Speech and Language Processing
- Speech Technologies
- Artificial Intelligence
- Machine Learning
- Digital Phenotyping
Teaching
- Artificial Intelligence for Healthcare Analytics
- Latent Variable Modelling
Expertise and public engagement
- Senior Member of the IEEE
- Theme lead Multimodal Patient Data Streams Drive-Health CDT
- Editorial Board Computer Speech & Language
- Chair International Speech Communication Association (ISCA) Diversity Panel
- Steering Committee Member UK and Ireland Speech (UKIS)
- Management Committee European Network to Advance the Development and Implementation of Vocal Biomarkers (eVoiceNet) Cost Action
Research

NIHR HealthTech Research Centre in Brain Health
National Institute for Health and Care Research (NIHR) HealthTech Research Centre, designed to accelerate the advancement of cutting-edge technology to better understand brain health and ageing and help people live healthier lives for longer.

Enhanced Maternal and Baby Results with AI-supported Care and Empowerment (EMBRACE)
EMBRACE is a global study that aims to revolutionise maternal and early childhood health through interventions powered by artificial intelligence (AI).
Project status: Starting

Voice and Speech Processing for Health
We combine expertise in applied and methodological research in signal processing and AI to analyse voice and spoken language for translational clinical research

Neurodevelopment, Epilepsy, Support & Trajectories (NEST) Lab
Advancing understanding of early brain development in epilepsy and rare genetic conditions to shape long-term outcomes through research, collaboration, and community-led insight.

Brain Health in Gen2020
Gen2020 researchers will map the potential impact of prenatal exposures such as Covid-19 on fetal and childhood brain development and outcomes.

Enhanced Maternal and Baby Results with AI-supported Care and Empowerment (EMBRACE)
EMBRACE is a global study that aims to revolutionise maternal and early childhood health through interventions powered by artificial intelligence (AI).
Project status: Starting

STORY study: Characterising Illness Stages and Recovery Trajectories of Eating Disorders in Young People
STORY is the first large-scale longitudinal study using RMT to investigate illness and recovery trajectories of EDs in young people..
Project status: Ongoing

RADAR-CNS (Remote Assessment of Disease and Relapse – Central Nervous System)
Project examining the potential of smartphones and wearable devices to manage and treat brain disorders like multiple sclerosis (MS), epilepsy, and depression.
Project status: Completed
News
Exploring the role of AI in the Armed Forces
Earlier this week, academics came together with charity leaders, industry members and civil servants for an event at King’s College London that explored...

How can speech recorded with smartphones help monitor depression?
Researchers from the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London are using novel methods to analyse speech recorded in...

Events

Towards the Clinical Adoption of Voice and Speech as Digital Biomarkers of Mental Health
A seminar discussing the translation of AI-generated speech analysis into clinical practice.
Please note: this event has passed.

AI in Research
What is the role of AI in scientific and medical research?
Please note: this event has passed.

Partnering for Change: AI predicting mental health - possible futures
Part of the ESRC Centre for Society and Mental Health Festival 2022: Partnering for Change
Please note: this event has passed.
Research

NIHR HealthTech Research Centre in Brain Health
National Institute for Health and Care Research (NIHR) HealthTech Research Centre, designed to accelerate the advancement of cutting-edge technology to better understand brain health and ageing and help people live healthier lives for longer.

Enhanced Maternal and Baby Results with AI-supported Care and Empowerment (EMBRACE)
EMBRACE is a global study that aims to revolutionise maternal and early childhood health through interventions powered by artificial intelligence (AI).
Project status: Starting

Voice and Speech Processing for Health
We combine expertise in applied and methodological research in signal processing and AI to analyse voice and spoken language for translational clinical research

Neurodevelopment, Epilepsy, Support & Trajectories (NEST) Lab
Advancing understanding of early brain development in epilepsy and rare genetic conditions to shape long-term outcomes through research, collaboration, and community-led insight.

Brain Health in Gen2020
Gen2020 researchers will map the potential impact of prenatal exposures such as Covid-19 on fetal and childhood brain development and outcomes.

Enhanced Maternal and Baby Results with AI-supported Care and Empowerment (EMBRACE)
EMBRACE is a global study that aims to revolutionise maternal and early childhood health through interventions powered by artificial intelligence (AI).
Project status: Starting

STORY study: Characterising Illness Stages and Recovery Trajectories of Eating Disorders in Young People
STORY is the first large-scale longitudinal study using RMT to investigate illness and recovery trajectories of EDs in young people..
Project status: Ongoing

RADAR-CNS (Remote Assessment of Disease and Relapse – Central Nervous System)
Project examining the potential of smartphones and wearable devices to manage and treat brain disorders like multiple sclerosis (MS), epilepsy, and depression.
Project status: Completed
News
Exploring the role of AI in the Armed Forces
Earlier this week, academics came together with charity leaders, industry members and civil servants for an event at King’s College London that explored...

How can speech recorded with smartphones help monitor depression?
Researchers from the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London are using novel methods to analyse speech recorded in...

Events

Towards the Clinical Adoption of Voice and Speech as Digital Biomarkers of Mental Health
A seminar discussing the translation of AI-generated speech analysis into clinical practice.
Please note: this event has passed.

AI in Research
What is the role of AI in scientific and medical research?
Please note: this event has passed.

Partnering for Change: AI predicting mental health - possible futures
Part of the ESRC Centre for Society and Mental Health Festival 2022: Partnering for Change
Please note: this event has passed.