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Dr David Plans

Dr David Plans

Senior Lecturer in Organisational Neuroscience (SITE)

+44 (0) 7527016574

INDEX, London

David Plans initially studied artificial intelligence and media, using evolutionary algorithms to investigate the nature of human improvisation. He helped build the first European merger for Open Source startups and worked within the UK’s National Health Service to deploy the first mobile application to let users self-report in chronic illness. He has given papers and talks at the European Conference on Artificial Life, IRCAM, the Darwin Symposium, and the Computer Arts Society in London.

His first PhD focused on genetic algorithms for classification of human musical behaviour in MPEG7 time series. He then led BioBeats as CEO, a startup that focuses on machine learning models of mental health and disorder. Through his work at BioBeats, he has retrained as a neuroscientist and experimental psychologist, and is now pursuing DPhil work at the University of Oxford's Social Cognition Lab. He is a member of the INDEX group and a Senior Lecturer in Organisational Neuroscience.

Nationality: Spanish

Qualifications

BA, MSc, PhD

Links

Research interests

  • computational psychiatry models of stress and emotional resilience
  • telemetric approaches to digital therapeutics for mental health.
  • smartphone applications to predict mental disorder from body sensor data
  • interoceptive awareness, capacity for empathy, cognitive vulnerabilities such as rumination, and how these interactions play out in individual and social frameworks such as workplaces.

Key publications | Publications by category | Publications by year

Publications by category


Journal articles

Lopez D, Brown A, Plans D (In Press). Developing Opportunities in Digital Health: the Case of BioBeats Ltd. Journal of Business Venturing Insights Full text.
Plans D (In Press). Population risk factors for severe disease and mortality in COVID-19: a global systematic review and meta-analysis. PLoS One
Murphy J, Brewer R, Plans D, Khalsa SS, Catmur C, Bird G (In Press). Testing the independence of self-reported interoceptive accuracy and attention.  Abstract. DOI.
Hemmings NR, Kawadler JM, Whatmough R, Ponzo S, Rossi A, Morelli D, Bird G, Plans D (2021). Development and Feasibility of a Digital Acceptance and Commitment Therapy-Based Intervention for Generalized Anxiety Disorder: Pilot Acceptability Study. JMIR Form Res, 5(2). Abstract.  Author URL.  Full text. DOI.
Clift AK, Le Lannou E, Tighe CP, Shah SS, Beatty M, Hyvärinen A, Lane SJ, Strauss T, Dunn DD, Lu J, et al (2021). Development and Validation of Risk Scores for All-Cause Mortality for a Smartphone-Based "General Health Score" App: Prospective Cohort Study Using the UK Biobank. JMIR Mhealth Uhealth, 9(2). Abstract.  Author URL.  Full text. DOI.
Dolezalova N, Cairo M, Despotovic A, Booth ATC, Reed AB, Morelli D, Plans D (2021). Development of a dynamic type 2 diabetes risk prediction tool: a UK. Biobank study.  Abstract.  Author URL.
Dolezalova N, Reed AB, Despotovic A, Obika BD, Morelli D, Aral M, Plans D (2021). Development of an accessible 10-year Digital CArdioVAscular (DiCAVA). risk assessment: a UK Biobank study.  Abstract.  Author URL.
Dolezalova N, Reed AB, Despotovic A, Obika BD, Morelli D, Aral M, Plans D (2021). Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study. , 2(3). DOI.
Morelli D, Dolezalova N, Ponzo S, Colombo M, Plans D (2021). Development of digitally obtainable 10-year risk scores for depression. and anxiety in the general population.  Abstract.  Author URL.
Obika BD, Dolezova N, Ponzo S, Valentine S, Shah S, Gledhill J, Plans D, Nicholson C, Walters C, Stephen L, et al (2021). Implementation of a mHealth solution to remotely monitor patients on a cardiac surgical waiting list: service evaluation. JAMIA Open, 4(3). Abstract.  Author URL. DOI.
Dabbah MA, Reed AB, Booth ATC, Yassaee A, Despotovic A, Klasmer B, Binning E, Aral M, Plans D, Labrique AB, et al (2021). Machine learning approach to dynamic risk modeling of mortality in. COVID-19: a UK Biobank study.  Abstract.  Author URL.
Ponzo S, Morelli D, Suksasilp C, Cairo M, Plans D (2021). Measuring Interoception: the CARdiac Elevation Detection Task. FRONTIERS IN PSYCHOLOGY, 12 Author URL. DOI.
Plans D, Ponzo S, Morelli D, Cairo M, Ring C, Keating CT, Cunningham AC, Catmur C, Murphy J, Bird G, et al (2021). Measuring interoception: the phase adjustment task. Biol Psychol, 165 Abstract.  Author URL. DOI.
Coutts LV, Plans D, Brown AW, Collomosse J (2020). Deep learning with wearable based heart rate variability for prediction of mental and general health. Journal of Biomedical Informatics, 112, 103610-103610. Full text. DOI.
Kawadler JM, Hemmings NR, Ponzo S, Morelli D, Bird G, Plans D (2020). Effectiveness of a Smartphone App (BioBase) for Reducing Anxiety and Increasing Mental Well-Being: Pilot Feasibility and Acceptability Study. JMIR Form Res, 4(11). Abstract.  Author URL.  Full text. DOI.
Ponzo S, Morelli D, Kawadler JM, Hemmings NR, Bird G, Plans D (2020). Efficacy of the Digital Therapeutic Mobile App BioBase to Reduce Stress and Improve Mental Well-Being Among University Students: Randomized Controlled Trial. JMIR Mhealth Uhealth, 8(4). Abstract.  Author URL.  Full text. DOI.
Chelidoni O, Plans D, Ponzo S, Morelli D, Cropley M (2020). Exploring the effects of a brief biofeedback breathing session delivered through the biobase app in facilitating employee stress recovery: Randomized experimental study. JMIR mHealth and uHealth, 8(10). Abstract. DOI.
Murphy J, Brewer R, Coll M-P, Plans D, Hall M, Shiu SS, Catmur C, Bird G (2019). I feel it in my finger: Measurement device affects cardiac interoceptive accuracy. Biol Psychol, 148 Abstract.  Author URL.  Full text. DOI.
Murphy J, Brewer R, Plans D, Khalsa S, Catmur C, Bird G (2019). Testing the independence of self-reported interoceptive accuracy and attention. Quarterly Journal of Experimental Psychology Full text. DOI.
Plans D, Morelli D, Sütterlin S, Ollis L, Derbyshire G, Cropley M (2019). Use of a Biofeedback Breathing App to Augment Poststress Physiological Recovery: Randomized Pilot Study. JMIR Form Res, 3(1). Abstract.  Author URL. DOI.
Inceoglu I, Thomas G, Chu C, Plans D, Gerbasi A (2018). Leadership behavior and employee well-being: an integrated review and a future research agenda. Leadership Quarterly Full text. DOI.
Morelli D, Bartoloni L, Colombo M, Plans D, Clifton DA (2018). Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device. Healthcare Technology Letters, 5(2), 59-64. Abstract.  Full text. DOI.
Bacciu D, Colombo M, Morelli D, Plans D (2018). Randomized neural networks for preference learning with physiological data. Neurocomputing, 298, 9-20. DOI.
Cropley M, Plans D, Morelli D, Sütterlin S, Inceoglu I, Thomas G, Chu C (2017). The Association between Work-Related Rumination and Heart Rate Variability: a Field Study. Frontiers in Human Neuroscience, 11 Abstract.  Full text. DOI.
Plans D, Morelli D (2012). Experience-driven procedural music generation for games. IEEE Transactions on Computational Intelligence and AI in Games, 4(3), 192-198. Abstract. DOI.

Conferences

Franceschi M, Morelli D, Plans D, Brown A, Collomosse J, Coutts L, Ricci L (2019). ComeHere: Exploiting ethereum for secure sharing of health-care data.  Abstract.  Full text. DOI.
Bacciu D, Colombo M, Morelli D, Plans D (2017). ELM preference learning for physiological data.  Abstract.
Font F, Brookes T, Fazekas G, Guerber M, La Burthe A, Plans D, Plumbley MD, Shaashua M, Wang W, Serra X, et al (2016). Audio commons: Bringing Creative commons audio content to the creative industries.  Abstract.

Publications by year


In Press

Lopez D, Brown A, Plans D (In Press). Developing Opportunities in Digital Health: the Case of BioBeats Ltd. Journal of Business Venturing Insights Full text.
Plans D (In Press). Population risk factors for severe disease and mortality in COVID-19: a global systematic review and meta-analysis. PLoS One
Murphy J, Brewer R, Plans D, Khalsa SS, Catmur C, Bird G (In Press). Testing the independence of self-reported interoceptive accuracy and attention.  Abstract. DOI.

2021

Nikbakhtian S, Reed AB, Obika BD, Morelli D, Cunningham AC, Aral M, Plans D (2021). Accelerometer-Derived Sleep Onset Timing and Cardiovascular Disease Incidence: a UK Biobank Cohort Study. DOI.
Nikbakhtian S, Reed AB, Obika BD, Morelli D, Cunningham AC, Aral M, Plans D (2021). Accelerometer-derived sleep onset timing and cardiovascular disease incidence: a UK Biobank cohort study. DOI.
Hemmings NR, Kawadler JM, Whatmough R, Ponzo S, Rossi A, Morelli D, Bird G, Plans D (2021). Development and Feasibility of a Digital Acceptance and Commitment Therapy-Based Intervention for Generalized Anxiety Disorder: Pilot Acceptability Study. JMIR Form Res, 5(2). Abstract.  Author URL.  Full text. DOI.
Clift AK, Le Lannou E, Tighe CP, Shah SS, Beatty M, Hyvärinen A, Lane SJ, Strauss T, Dunn DD, Lu J, et al (2021). Development and Validation of Risk Scores for All-Cause Mortality for a Smartphone-Based "General Health Score" App: Prospective Cohort Study Using the UK Biobank. JMIR Mhealth Uhealth, 9(2). Abstract.  Author URL.  Full text. DOI.
Colombo M, Dolezalova N, Despotovic A, Reed AB, Morelli D, Aral M, Plans D (2021). Development of a digitally-obtainable 10-year all-cause mortality risk score based on data from 497,712 UK Biobank participants. DOI.
Dolezalova N, Cairo M, Despotovic A, Booth ATC, Reed AB, Morelli D, Plans D (2021). Development of a dynamic type 2 diabetes risk prediction tool: a UK. Biobank study.  Abstract.  Author URL.
Dolezalova N, Reed AB, Despotovic A, Obika BD, Morelli D, Aral M, Plans D (2021). Development of an accessible 10-year Digital CArdioVAscular (DiCAVA). risk assessment: a UK Biobank study.  Abstract.  Author URL.
Dolezalova N, Reed AB, Despotovic A, Obika BD, Morelli D, Aral M, Plans D (2021). Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study. , 2(3). DOI.
Morelli D, Dolezalova N, Ponzo S, Colombo M, Plans D (2021). Development of digitally obtainable 10-year risk scores for depression. and anxiety in the general population.  Abstract.  Author URL.
Morelli D, Dolezalova N, Ponzo S, Colombo M, Plans D (2021). Development of digitally obtainable 10-year risk scores for depression. and anxiety in the general population.
Obika BD, Dolezova N, Ponzo S, Valentine S, Shah S, Gledhill J, Plans D, Nicholson C, Walters C, Stephen L, et al (2021). Implementation of a mHealth solution to remotely monitor patients on a cardiac surgical waiting list: service evaluation. JAMIA Open, 4(3). Abstract.  Author URL. DOI.
Dabbah MA, Reed AB, Booth ATC, Yassaee A, Despotovic A, Klasmer B, Binning E, Aral M, Plans D, Labrique AB, et al (2021). Machine learning approach to dynamic risk modeling of mortality in. COVID-19: a UK Biobank study.
Dabbah MA, Reed AB, Booth ATC, Yassaee A, Despotovic A, Klasmer B, Binning E, Aral M, Plans D, Labrique AB, et al (2021). Machine learning approach to dynamic risk modeling of mortality in. COVID-19: a UK Biobank study.  Abstract.  Author URL.
Dabbah MA, Reed AB, Booth ATC, Yassaee A, Despotovic A, Klasmer B, Binning E, Aral M, Plans D, Labrique AB, et al (2021). Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study. DOI.
Ponzo S, Morelli D, Suksasilp C, Cairo M, Plans D (2021). Measuring Interoception: the CARdiac Elevation Detection Task. FRONTIERS IN PSYCHOLOGY, 12 Author URL. DOI.
Ponzo S, Morelli D, Suksasilp C, Cairo M, Plans D (2021). Measuring Interoception: the CARdiac Elevation Detection Task (Preprint). DOI.
Plans D, Ponzo S, Morelli D, Cairo M, Ring C, Keating CT, Cunningham AC, Catmur C, Murphy J, Bird G, et al (2021). Measuring interoception: the phase adjustment task. Biol Psychol, 165 Abstract.  Author URL. DOI.
Ponzo S, Morelli D, Suksasilp C, Cairo M, Plans D (2021). Measuring interoception: the CARdiac Elevation Detection Task. DOI.
Valentine S, Klasmer B, Dabbah M, Balabanovic M, PLANS D (2021). Smartphone Movement Sensors for Remote Monitoring of Respiratory Rate: Observational Study (Preprint). DOI.

2020

Coutts LV, Plans D, Brown AW, Collomosse J (2020). Deep learning with wearable based heart rate variability for prediction of mental and general health. Journal of Biomedical Informatics, 112, 103610-103610. Full text. DOI.
Hemmings NR, Kawadler JM, Whatmough R, Ponzo S, Rossi A, Morelli D, Bird G, Plans D (2020). Development and Feasibility of a Digital Acceptance and Commitment Therapy–Based Intervention for Generalized Anxiety Disorder: Pilot Acceptability Study (Preprint). DOI.
Clift AK, Le Lannou E, Tighe CP, Shah SS, Beatty M, Hyvärinen A, Lane SJ, Strauss T, Dunn DD, Lu J, et al (2020). Development and validation of risk scores for all-cause mortality for a smartphone-based ‘general health score’ application: a prospective cohort study using the UK Biobank (Preprint). DOI.
Clift AK, Le Lannou E, Tighe CP, Shah SS, Beatty M, Hyvärinen A, Lane SJ, Strauss T, Dunn DD, Lu J, et al (2020). Development and validation of risk scores for all-cause mortality for the purposes of a smartphone-based ‘general health score’ application: a prospective cohort study using the UK Biobank. DOI.
Kawadler JM, Hemmings NR, Ponzo S, Morelli D, Bird G, Plans D (2020). Effectiveness of a Smartphone App (BioBase) for Reducing Anxiety and Increasing Mental Well-Being: Pilot Feasibility and Acceptability Study (Preprint). DOI.
Kawadler JM, Hemmings NR, Ponzo S, Morelli D, Bird G, Plans D (2020). Effectiveness of a Smartphone App (BioBase) for Reducing Anxiety and Increasing Mental Well-Being: Pilot Feasibility and Acceptability Study. JMIR Form Res, 4(11). Abstract.  Author URL.  Full text. DOI.
Ponzo S, Morelli D, Kawadler JM, Hemmings NR, Bird G, Plans D (2020). Efficacy of the Digital Therapeutic Mobile App BioBase to Reduce Stress and Improve Mental Well-Being Among University Students: Randomized Controlled Trial (Preprint). DOI.
Ponzo S, Morelli D, Kawadler JM, Hemmings NR, Bird G, Plans D (2020). Efficacy of the Digital Therapeutic Mobile App BioBase to Reduce Stress and Improve Mental Well-Being Among University Students: Randomized Controlled Trial. JMIR Mhealth Uhealth, 8(4). Abstract.  Author URL.  Full text. DOI.
Chelidoni O, Plans D, Ponzo S, Morelli D, Cropley M (2020). Exploring the Effects of a Brief Biofeedback Breathing Session Delivered Through the BioBase App in Facilitating Employee Stress Recovery: Randomized Experimental Study (Preprint). DOI.
Chelidoni O, Plans D, Ponzo S, Morelli D, Cropley M (2020). Exploring the effects of a brief biofeedback breathing session delivered through the biobase app in facilitating employee stress recovery: Randomized experimental study. JMIR mHealth and uHealth, 8(10). Abstract. DOI.
Plans D, Ponzo S, Bird G, Ring C, Morelli D, Keating CT, Murphy J, Catmur C, cairo M (2020). Measuring Interoception: the Phase Adjustment Task. DOI.
Booth A, Reed AB, Ponzo S, Yassaee A, Aral M, Plans D, Labrique A, Mohan D (2020). Population risk factors for severe disease and mortality in COVID-19: a global systematic review and meta-analysis. DOI.

2019

Franceschi M, Morelli D, Plans D, Brown A, Collomosse J, Coutts L, Ricci L (2019). ComeHere: Exploiting ethereum for secure sharing of health-care data.  Abstract.  Full text. DOI.
Murphy J, Brewer R, Coll M-P, Plans D, Hall M, Shiu SS, Catmur C, Bird G (2019). I feel it in my finger: Measurement device affects cardiac interoceptive accuracy. Biol Psychol, 148 Abstract.  Author URL.  Full text. DOI.
Murphy J, Brewer R, Plans D, Khalsa S, Catmur C, Bird G (2019). Testing the independence of self-reported interoceptive accuracy and attention. Quarterly Journal of Experimental Psychology Full text. DOI.
Plans D, Morelli D, Sütterlin S, Ollis L, Derbyshire G, Cropley M (2019). Use of a Biofeedback Breathing App to Augment Poststress Physiological Recovery: Randomized Pilot Study. JMIR Form Res, 3(1). Abstract.  Author URL. DOI.

2018

Inceoglu I, Thomas G, Chu C, Plans D, Gerbasi A (2018). Leadership behavior and employee well-being: an integrated review and a future research agenda. Leadership Quarterly Full text. DOI.
Morelli D, Bartoloni L, Colombo M, Plans D, Clifton DA (2018). Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device. Healthcare Technology Letters, 5(2), 59-64. Abstract.  Full text. DOI.
Bacciu D, Colombo M, Morelli D, Plans D (2018). Randomized neural networks for preference learning with physiological data. Neurocomputing, 298, 9-20. DOI.
Plans D, Morelli D, Sütterlin S, Ollis L, Derbyshire G, Cropley M (2018). Use of a Biofeedback Breathing App to Augment Poststress Physiological Recovery: Randomized Pilot Study (Preprint). DOI.

2017

Bacciu D, Colombo M, Morelli D, Plans D (2017). ELM preference learning for physiological data.  Abstract.
Cropley M, Plans D, Morelli D, Sütterlin S, Inceoglu I, Thomas G, Chu C (2017). The Association between Work-Related Rumination and Heart Rate Variability: a Field Study. Frontiers in Human Neuroscience, 11 Abstract.  Full text. DOI.

2016

Font F, Brookes T, Fazekas G, Guerber M, La Burthe A, Plans D, Plumbley MD, Shaashua M, Wang W, Serra X, et al (2016). Audio commons: Bringing Creative commons audio content to the creative industries.  Abstract.

2012

Plans D, Morelli D (2012). Experience-driven procedural music generation for games. IEEE Transactions on Computational Intelligence and AI in Games, 4(3), 192-198. Abstract. DOI.

External positions

  • Alan Turing Institute Fellow