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Richard Dobson
Richard Dobson

Professor Richard Dobson

Professor of Medical Bioinformatics

  • Head of Department

Biography

Richard Dobson is Professor of Medical Informatics at the IoPPN, Theme Lead for Informatics at the NIHR Maudsley Biomedical Research Centre, and  Professor of Biomedical and Health Informatics at the Institute of Health Informatics, UCL. He also co-chairs the Centre for Translational Informatics (CTI). The CTI is a partnership between university and healthcare sectors to facilitate the realisation of innovative healthcare applications.

 

His research is motivated towards enabling a “panor-omic” view of patients through the integration of genomics data with data derived from patient records, the exposome, social graphs, remote monitoring and imaging to develop strategies for P4 medicine, namely, medicine that is precise, predictive, preventative and participatory. The research has required the extensive use of computational approaches as such machine learning, the creation of software tools, development of a hospital development environments and large private cloud infrastructure with safe haven status to enable integration of patient datasets.

 

The work has led to a rich portfolio of academic collaborations, some key ones include TwinsUK, HipSci, the Alzheimer’s Research UK Drug Discovery initiative (ARUK-O3DI), GENAROAD, the Psychiatric Genomics Consortium, and The Center for Behavioural Intervention Technologies, Northwestern, Chicago (CBITS).

 

His research has strong links with the technology and pharma industry, charities, and academia (notably Farr Institute for Health Informatics). Dobson sits on grant review panels & strategy groups, including the DoH 10-year strategy for Population & Health Services Research in mental health working group, Genomics England (EHR GeCIP co-lead), Canadian Foundation for Innovation, mental health charity MQ, NIHR and London GMCs. He is UCL and KCL’s informatics lead for several industrial and academic collaborations, including the EU IMI2 European Medical Information Framework (EMIF), IMI2 €22m Remote Assessment of Disease and Relapse (RADAR-cns.org), H2020 Kconnect (kconnect.eu), IMI2 BigData4BetterHearts, Intel-Turing Institute collaboration, Lilly, UCB, Janssen, Biogen, GE, Intel, IBM, SoftwareAG, Michael J Fox Foundation, Vibrent (a major subcontractor to the US Precision Medicine Initiative) and FitBit.

Research Interests:

  • Bioinformatics 
  • Biomarkers 
  • Modeling 
  • Next generation sequencing 
  • Machine Learning 
  • Data Integration 
  • Networks 

Teaching:

  • Bioinformatics, Interpretation and Data Quality in Genome Analysis 
  • Research Project 
  • Fundamental Neuroscience 

Expertise and Public Engagement:

  • Population & Health Services Research working group, informing the Strategy Steering Group. Responsible for providing a narrative for inclusion in the final DoH 10-year strategy document. Department of Health (2016) 
  • Joint leadership for the GeL EHR Genomics England Clinical Interpretation Partnership (GeCIP) & Clinical Data and Life Course working group, Genomics England (2016-present) 
  • Member - aims to harness 1% of NHS IT funding for an open platform in healthcare to meet the needs of 21st Century Healthcare (https://goo.gl/jChs8x), 1% Open Digital Platform Challenge Fund Push (2016-present) 
  • BioResource Sequencing and Informatics Committee Member, NIHR (2012-present) 
  • Member of the University College London Hospital (UCLH) Research Systems Strategy Group (2016-present) 
  • Member of the King’s Health Partner (KHP) Informatics Strategy group (2016-present) 

    Research

    ART LOGO
    ADHD Remote Technology (ART)

    The ADHD Remote Technology (ART) research programme focuses on the development and application of a novel remote measurement technology system for ADHD

    Status not set
    ART-CARMA 300PI
    ART-CARMA - The ADHD Remote Technology study of cardiometabolic risk factors and medication adherence

    ART-CARMA, the ADHD Remote Technology study of cardiometabolic risk factors and medication adherence, is a large remote monitoring project on adults with ADHD

    Project status: Ongoing

    ART-PILOT 300PI
    ART-pilot

    The ADHD Remote Technology pilot feasibility study (ART-pilot) involves the initial development stages of the new remote measurement technology system for ADHD

    Project status: Ongoing

    London landscape
    Ageing Research at King's (ARK)

    Cross faculty consortium addressing ageing and healthy longevity.

    Status not set

    News

    £2.5m funding to study transition to adulthood for individuals with ADHD

    The Medical Research Council (MRC) has awarded £2.5 million funding to principal investigator, Professor Jonna Kuntsi, and team to use remote technology to...

    ART Transition

    IoPPN to collaborate on new MRC funded project to investigate ADHD among women

    The Medical Research Council (MRC) has awarded funding to co-investigators Professor Jonna Kuntsi and Professor Richard Dobson at the Institute of Psychiatry,...

    oura ring

    Forecasting Future Medical Events: CogStack Foresight

    Read about King's work on forecasting future medical events using CogStack Foresight, as featured in the Bringing the Human to the Artificial exhibition.

    Circle split into different elements colourful AdobeStock_378726466

    CogStack wins an Artificial Intelligence in Health and Care Award

    Cogstack is an information retrieval, extraction and natural language processing platform developed by researchers at the NIHR Maudsley BRC and King’s College...

    Scientist with laptop clipboard and display of human anatomy

    ART-CARMA Clinical Study part of 6m Euro global programme

    The EU funded project will utilise new wearable technology and smartphone apps to obtain real time data from adults with ADHD

    Woman holding a smartphone

    'Trending' doctors' notes could help hospitals predict COVID-19 surges

    Data mining technology developed by researchers at the NIHR Maudsley Biomedical Research Centre could help hospitals plan for surges in COVID-19 cases, based...

    Doctor and patient wearing face masks looking at a clipboard together

    NEWS2 evaluated for prediction of severe COVID-19 outcome in large international study

    In the first systematic large-scale evaluation of the UK National Early Warning Risk Score (NEWS) 2 as a scoring system for predicting severe COVID-19...

    ICU worker in PPE looking at a monitor

    Can wearables like Fitbit devices be used to help detect COVID-19?

    The COVID-Collab research team at King’s College London have launched a free mobile app which will allow scientists to investigate the use of wearable devices...

    Can wearables like Fitbit devices be used to help detect COVID-19?

    Using AI and electronic health records to determine the impact of blood pressure medication on COVID-19 severity

    Natural language processing tool finds blood pressure medications do not increase COVID-19 severity.

    A medicines pill box

    BAME COVID-19 patients 10 years younger than white counterparts, study finds

    The average age of a BAME patient hospitalised with COVID-19 is ten years younger than a white patient, a new study has found.

    covid bame

      Research

      ART LOGO
      ADHD Remote Technology (ART)

      The ADHD Remote Technology (ART) research programme focuses on the development and application of a novel remote measurement technology system for ADHD

      Status not set
      ART-CARMA 300PI
      ART-CARMA - The ADHD Remote Technology study of cardiometabolic risk factors and medication adherence

      ART-CARMA, the ADHD Remote Technology study of cardiometabolic risk factors and medication adherence, is a large remote monitoring project on adults with ADHD

      Project status: Ongoing

      ART-PILOT 300PI
      ART-pilot

      The ADHD Remote Technology pilot feasibility study (ART-pilot) involves the initial development stages of the new remote measurement technology system for ADHD

      Project status: Ongoing

      London landscape
      Ageing Research at King's (ARK)

      Cross faculty consortium addressing ageing and healthy longevity.

      Status not set

      News

      £2.5m funding to study transition to adulthood for individuals with ADHD

      The Medical Research Council (MRC) has awarded £2.5 million funding to principal investigator, Professor Jonna Kuntsi, and team to use remote technology to...

      ART Transition

      IoPPN to collaborate on new MRC funded project to investigate ADHD among women

      The Medical Research Council (MRC) has awarded funding to co-investigators Professor Jonna Kuntsi and Professor Richard Dobson at the Institute of Psychiatry,...

      oura ring

      Forecasting Future Medical Events: CogStack Foresight

      Read about King's work on forecasting future medical events using CogStack Foresight, as featured in the Bringing the Human to the Artificial exhibition.

      Circle split into different elements colourful AdobeStock_378726466

      CogStack wins an Artificial Intelligence in Health and Care Award

      Cogstack is an information retrieval, extraction and natural language processing platform developed by researchers at the NIHR Maudsley BRC and King’s College...

      Scientist with laptop clipboard and display of human anatomy

      ART-CARMA Clinical Study part of 6m Euro global programme

      The EU funded project will utilise new wearable technology and smartphone apps to obtain real time data from adults with ADHD

      Woman holding a smartphone

      'Trending' doctors' notes could help hospitals predict COVID-19 surges

      Data mining technology developed by researchers at the NIHR Maudsley Biomedical Research Centre could help hospitals plan for surges in COVID-19 cases, based...

      Doctor and patient wearing face masks looking at a clipboard together

      NEWS2 evaluated for prediction of severe COVID-19 outcome in large international study

      In the first systematic large-scale evaluation of the UK National Early Warning Risk Score (NEWS) 2 as a scoring system for predicting severe COVID-19...

      ICU worker in PPE looking at a monitor

      Can wearables like Fitbit devices be used to help detect COVID-19?

      The COVID-Collab research team at King’s College London have launched a free mobile app which will allow scientists to investigate the use of wearable devices...

      Can wearables like Fitbit devices be used to help detect COVID-19?

      Using AI and electronic health records to determine the impact of blood pressure medication on COVID-19 severity

      Natural language processing tool finds blood pressure medications do not increase COVID-19 severity.

      A medicines pill box

      BAME COVID-19 patients 10 years younger than white counterparts, study finds

      The average age of a BAME patient hospitalised with COVID-19 is ten years younger than a white patient, a new study has found.

      covid bame