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Nicholas Cummins

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

    PONS Centre banner brain scan
    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.

    EMBRACE study mother pregnant yoga (see copyright details)
    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

    Light blue sound waves with V S 4 H in red writing
    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

    NEST Lab
    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.

    Baby
    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.

    EMBRACE study mother pregnant yoga (see copyright details)
    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

    Evidence for Young People Hero
    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-thumb
    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...

    Attendees at the 'Exploring AI in the Armed Forces' event

    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...

    speech recording RADAR

    Events

    15Jan

    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.

    29May

    AI in Research

    What is the role of AI in scientific and medical research?

    Please note: this event has passed.

    23Jun

    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

      PONS Centre banner brain scan
      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.

      EMBRACE study mother pregnant yoga (see copyright details)
      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

      Light blue sound waves with V S 4 H in red writing
      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

      NEST Lab
      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.

      Baby
      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.

      EMBRACE study mother pregnant yoga (see copyright details)
      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

      Evidence for Young People Hero
      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-thumb
      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...

      Attendees at the 'Exploring AI in the Armed Forces' event

      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...

      speech recording RADAR

      Events

      15Jan

      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.

      29May

      AI in Research

      What is the role of AI in scientific and medical research?

      Please note: this event has passed.

      23Jun

      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.