???global.info.a_carregar???
Sandra Vieira completed an Integrated Master’s in Clinical Psychology in 2011 at the University of Coimbra, as well as a Master’s in Psychiatric Research in 2014 and a PhD in Psychosis and Computational Psychiatry in 2019, both from the Institute of Psychiatry, Psychology and Neuroscience at King’s College London. She is currently Principal Investigator at the Centre Hospitalier Universitaire Vaudois (CHUV) where she also serves as Head of the Research Unit, Service of General Psychiatry. She is an invited assistant and affiliate researcher at the Institute of Psychiatry, Psychology and Neuroscience, King’s College London. She has published 29 peer-reviewed journal articles and contributed to 9 book chapters. She supervises 1 PhD student and has (co-)supervised 17 MSc dissertations. She is (co-)Principal Investigator on three projects, and is a co-investigator on the AMP SCZ study, the largest NIH-funded study on clinical high risk for psychosis. She has received 7 awards and honors, including an Early Career Research Award from the Schizophrenia International Research Society. Her research focuses on psychosis, machine learning, predictive modelling, clinical high risk for psychosis, and early intervention.
Read full resume ↓
Identification

Personal identification

Full name
Sandra Vieira

Citation names

  • Vieira, Sandra

Author identifiers

Ciência ID
0817-AA2E-D4AC
ORCID iD
0000-0002-2141-1963
Google Scholar ID
https://scholar.google.com/citations?user=uxWhsqkAAAAJ&hl=en

Websites

Knowledge fields

  • Social Sciences - Psychology
  • Medical and Health Sciences - Clinical Medicine - Psychiatry

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Education
Degree Classification
2015/10/02 - 2019/09/03
Concluded
 PhD in Psychosis (Doctor of Philosophy)
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
"Using deep learning to investigate neuroanatomical abnormalities in first-episode of psychosis" (THESIS/DISSERTATION)
2013/09/25 - 2014/08/31
Concluded
 Psychiatric Research (Master)
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
"Hippocampal Volume in Individuals at Ultra High-Risk for Psychosis" (THESIS/DISSERTATION)
2005/09/01 - 2011/09/12
Concluded
 Psicologia (Mestrado integrado)
Major in Psicologia Clinica
Universidade de Coimbra Faculdade de Psicologia e de Ciências da Educação, Portugal
"Mindfulness and Acceptance in Social Anxiety in Adolescents" (THESIS/DISSERTATION)
Affiliation

Science

Category
Host institution 		Employer
2023/07/01 - Current Principal Investigator (Research) Centre Hospitalier Universitaire Vaudois, Switzerland
2021/07/01 - Current Principal Investigator (Research) King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
Wellcome Trust, United Kingdom
2019/08/01 - 2021/03/31 Postdoc (Research) King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2015/10 - 2019/08 Researcher (Research) King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom

Teaching in Higher Education

Category
Host institution 		Employer
2016 - Current Invited Assistant (University Teacher) King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2015 - 2017 Tutor (University Teacher) King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom

Others

Category
Host institution 		Employer
2024/09/01 - Current Head of the Research Unit, Service of General Psychiatry, Department of Psychiatry Centre Hospitalier Universitaire Vaudois, Switzerland
2016 - 2021 Clinical Research Worker South London and Maudsley NHS Foundation Trust, United Kingdom
2014/03 - 2014/11 Clinical Placement South London and Maudsley NHS Foundation Trust, United Kingdom
2012 - 2013 Psicóloga Clínica (estágio profissional) Centro Hospitalar e Universitário de Coimbra EPE, Portugal
Projects

Grant

Designation Funders
2025/01/03 - Current Trajectories and Predictors in the Clinical High Risk for Psychosis Population: Prediction Scientific Global Consortium (PRESCIENT)
U01MH124631
Researcher
National Institute of Mental Health
2024/02/01 - Current Predicting symptom remission in early psychosis using static and dynamic machine learning models
xxx
Co-Principal Investigator (Co-PI)
2025/02/20 - 2026/08/20 DETECT: Identifying individuals at high risk of developing psychosis using artificial intelligence
2023.13586.PEX
Principal investigator
Fundação para a Ciência e a Tecnologia
Ongoing
2021/07 - 2026/08 Using multimodal normative modelling to predict clinical outcomes in early psychosis
TBD
Principal investigator
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
 Wellcome Trust
2015/10/02 - 2019/09/03 Using deep learning to investigate neuroanatomical abnormalities in first episode of psychosis
SFRH/BD/103907/2014
PhD Student Fellow
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
 Associação para a Inovação e Desenvolvimento da FCT

Contract

Designation Funders
2019/10/01 - 2021/03 Using deep learning technology to make individualised inferences in brain-based disorders
info:eu-repo/grantAgreement/WT/Innovations/208519/
Post-doc
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
 Wellcome Trust
Ongoing
2019/09/15 - 2021/01 PSYSCAN— Translating neuroimaging findings from research into clinical practice
info:eu-repo/grantAgreement/NHMRC/Targeted Calls/1074555/AU
Post-doc
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
 European Commission
Ongoing

Other

Designation Funders
2021 - Current The therapeutic potential of the cerebellum in the negative symptoms of schizophrenia
2020.05099.BD
External collaborator
2012 - 2013 Comportamentos de vinculação de tipo inibido e de tipo indiscriminado: Comparação multi-nível com perturbações do espectro do autismo e com o síndrome de Williams
PTDC/PSI-PCL/ 101506/2008
Researcher
Universidade do Minho, Portugal
2012 - 2013 "Don't Burn" - Mindfulness e Burnout
N/A
Other
Outputs

Publications

Book chapter
  1. Vieira, Sandra; Lopez Pinaya, Walter Hugo; Mechelli, Andrea. "Introduction to machine learning". In Machine Learning: Methods and Applications to Brain Disorders 2020, Pages 1-20, 1-20. Elsevier, 2020.
    10.1016/b978-0-12-815739-8.00001-8
  2. Vieira, Sandra; Lopez Pinaya, Walter Hugo; Mechelli, Andrea. "Main concepts in machine learning". In Machine Learning: Methods and Applications to Brain Disorders, 21-44. Elsevier, 2020.
    10.1016/b978-0-12-815739-8.00002-x
  3. Scarpazza, Cristina; Baecker, Lea; Vieira, Sandra; Mechelli, Andrea. "Applications of machine learning to brain disorders". In Machine Learning: Methods and Applications to Brain Disorders, 45-65. Elsevier, 2020.
    10.1016/b978-0-12-815739-8.00003-1
  4. Vieira, Sandra; Lopez Pinaya, Walter Hugo; Garcia-Dias, Rafael; Mechelli, Andrea. "Deep neural networks". In Machine Learning: Methods and Applications to Brain Disorders, 157-172. Elsevier, 2020.
    10.1016/b978-0-12-815739-8.00009-2
  5. Lopez Pinaya, Walter Hugo; Vieira, Sandra; Garcia-Dias, Rafael; Mechelli, Andrea. "Convolutional neural networks". In Machine Learning: Methods and Applications to Brain Disorders, 173-191. Elsevier, 2020.
    10.1016/b978-0-12-815739-8.00010-9
  6. Lopez Pinaya, Walter Hugo; Vieira, Sandra; Garcia-Dias, Rafael; Mechelli, Andrea. "Autoencoders". In Machine Learning: Methods and Applications to Brain Disorders, 193-208. Elsevier, 2020.
    10.1016/b978-0-12-815739-8.00011-0
  7. Garcia-Dias, Rafael; Vieira, Sandra; Lopez Pinaya, Walter Hugo; Mechelli, Andrea. "Clustering analysis". In Machine Learning: Methods and Applications to Brain Disorders, 227-247. Elsevier, 2020.
    10.1016/b978-0-12-815739-8.00013-4
  8. Vieira, Sandra; Pinaya, Walter Hugo Lopez; Garcia-Dias, Rafael; Mechelli, Andrea. "Multimodal integration". In Machine Learning: Methods and Applications to Brain Disorders, 283-305. Elsevier, 2020.
    10.1016/b978-0-12-815739-8.00016-x
  9. Vieira, Sandra; Garcia-Dias, Rafael; Lopez Pinaya, Walter Hugo. "A step-by-step tutorial on how to build a machine learning model". In Machine Learning: Methods and Applications to Brain Disorders, 343-370. Elsevier, 2020.
    10.1016/b978-0-12-815739-8.00019-5
Edited book
  1. Vieira, Sandra; Andrea Mechelli, ed. Machine Learning: Methods and Applications to Brain Disorders. 2020.
Journal article
  1. Stefania Tognin, Sandra Vieira, Dominic Oliver, Alexis E. Cullen, Mathew J. Kempton, Andrea Mechelli, Paola Dazzan, Kate. "PSYSCAN multi-centre study: baseline characteristics and clinical outcomes of the clinical high risk for psychosis sample". Schizophrenia (2025):
  2. Vieira, S.; Baecker, L.; Pinaya, W. H. L.; Garcia-Dias, R.; Scarpazza, C.; Calhoun, V.; Mechelli, A.. "Neurofind: using deep learning to make individualised inferences in brain-based disorders". Translational Psychiatry 15 1 (2025): https://doi.org/10.1038/s41398-025-03290-x.
    10.1038/s41398-025-03290-x
  3. Slot, Margot I. E.; Urquijo Castro, Maria F.; Winter - van Rossum, Inge; van Hell, Hendrika H.; Dwyer, Dominic; Dazzan, Paola; Maat, Arija; et al. "Multivariable prediction of functional outcome after first-episode psychosis: a crossover validation approach in EUFEST and PSYSCAN". Schizophrenia 10 1 (2024): https://doi.org/10.1038/s41537-024-00505-w.
    10.1038/s41537-024-00505-w
  4. Gifford, George; Cullen, Alexis E.; Vieira, Sandra; Searle, Anja; McCutcheon, Robert A.; Modinos, Gemma; Stone, William S.; et al. "PsyCog: A computerised mini battery for assessing cognition in psychosis". Schizophrenia Research: Cognition 37 (2024): 100310. https://doi.org/10.1016/j.scog.2024.100310.
    10.1016/j.scog.2024.100310
  5. Vieira, S.; Bolton, T. A. W.; Schöttner, M.; Baecker, L.; Marquand, A.; Mechelli, A.; Hagmann, P.. "Multivariate brain-behaviour associations in psychiatric disorders". Translational Psychiatry 14 1 (2024): https://doi.org/10.1038/s41398-024-02954-4.
    10.1038/s41398-024-02954-4
  6. Slot, Margot I.E.; van Hell, Hendrika H.; Rossum, Inge Winter-van; Dazzan, Paola; Maat, Arija; de Haan, Lieuwe; Crespo-Facorro, Benedicto; et al. "A naturalistic cohort study of first-episode schizophrenia spectrum disorder: A description of the early phase of illness in the PSYSCAN cohort". Schizophrenia Research 266 (2024): 237-248. https://doi.org/10.1016/j.schres.2024.02.018.
    10.1016/j.schres.2024.02.018
  7. Duarte, João Valente; Vieira, Sandra; Madeira, Nuno. "Editorial: Neuroimaging in early intervention in psychiatry". Frontiers in Psychiatry 14 (2023): http://dx.doi.org/10.3389/fpsyt.2023.1196886.
    10.3389/fpsyt.2023.1196886
  8. Schöttner, Mikkel; Bolton, Thomas A. W.; Patel, Jagruti; Nahálka, Anjali Tarun; Vieira, Sandra; Hagmann, Patric. "Exploring the latent structure of behavior using the Human Connectome Project’s data". Scientific Reports 13 1 (2023): http://dx.doi.org/10.1038/s41598-022-27101-1.
    10.1038/s41598-022-27101-1
  9. Vieira, Sandra; Liang, Xinyi; Guiomar, Raquel; Mechelli, Andrea. "Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies". Clinical Psychology Review 97 (2022): 102193. http://dx.doi.org/10.1016/j.cpr.2022.102193.
    10.1016/j.cpr.2022.102193
  10. Lei, Du; Qin, Kun; Pinaya, Walter H L; Young, Jonathan; Van Amelsvoort, Therese; Marcelis, Machteld; Donohoe, Gary; et al. "Graph Convolutional Networks Reveal Network-Level Functional Dysconnectivity in Schizophrenia". Schizophrenia Bulletin 48 4 (2022): 881-892. http://dx.doi.org/10.1093/schbul/sbac047.
    10.1093/schbul/sbac047
  11. Kerins, Sarah; Nottage, Judith; Salazar de Pablo, Gonzalo; Kempton, Matthew J.; Tognin, Stefania; Niemann, Dorien H.; de Haan, Lieuwe; et al. "Identifying Electroencephalography Biomarkers in Individuals at Clinical High Risk for Psychosis in an International Multi-Site Study". Frontiers in Psychiatry 13 (2022): http://dx.doi.org/10.3389/fpsyt.2022.828376.
    10.3389/fpsyt.2022.828376
  12. Baecker, Lea; Garcia-Dias, Rafael; Vieira, Sandra; Scarpazza, Cristina; Mechelli, Andrea. "Machine learning for brain age prediction: Introduction to methods and clinical applications". eBioMedicine 72 (2021): 103600. http://dx.doi.org/10.1016/j.ebiom.2021.103600.
    10.1016/j.ebiom.2021.103600
  13. Vieira, Sandra. "Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer’s disease: a multi-cohort study". Scientific Reports (2021):
    Under revision
  14. Vieira, Sandra. "Comparison of machine learning models for brain age prediction from region- and voxel-based morphometric data in UK Biobank". Human Brain Mapping (2021):
    Accepted
  15. Vieira, Sandra. "Overview and main applications of brain age in psychiatric neuroimaging". EBioMedicine (2021):
    Under revision
  16. Garcia-Dias, Rafael; Scarpazza, Cristina; Baecker, Lea; Vieira, Sandra; Pinaya, Walter H.L.; Corvin, Aiden; Redolfi, Alberto; et al. "Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners". NeuroImage 220 (2020): 117127. http://dx.doi.org/10.1016/j.neuroimage.2020.117127.
    10.1016/j.neuroimage.2020.117127
  17. Petros, Natalia; Cullen, Alexis E.; Vieira, Sandra; Rowland, Emma; King, Georgina; Leung, Wing See; Fusar-Poli, Paolo; Mechelli, Andrea; McGuire, Philip. "Examining service-user perspectives for the development of a good outcome checklist for individuals at clinical high risk for psychosis". Early Intervention in Psychiatry (2020): http://dx.doi.org/10.1111/eip.12991.
    10.1111/eip.12991
  18. Scarpazza, C.; Ha, M.; Baecker, L.; Garcia-Dias, R.; Pinaya, W. H. L.; Vieira, S.; Mechelli, A.. "Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders". Translational Psychiatry 10 1 (2020): http://dx.doi.org/10.1038/s41398-020-0798-6.
    10.1038/s41398-020-0798-6
  19. Mechelli, Andrea; Vieira, Sandra. "From models to tools: clinical translation of machine learning studies in psychosis". npj Schizophrenia 6 1 (2020): http://dx.doi.org/10.1038/s41537-020-0094-8.
    10.1038/s41537-020-0094-8
  20. Vieira, Sandra. "Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies-PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice". Schizophrenia Bulletin (2020): http://dx.doi.org/10.1093/schbul/sbz125.
    10.1093/schbul/sbz125
  21. Vieira, Sandra; Gong, Qiyong; Scarpazza, Cristina; Lui, Su; Huang, Xiaoqi; Crespo-Facorro, Benedicto; Tordesillas-Gutierrez, Diana; et al. "Neuroanatomical abnormalities in first-episode psychosis across independent samples: a multi-centre mega-analysis". Psychological Medicine (2019): 1-11. http://dx.doi.org/10.1017/s0033291719003568.
    10.1017/s0033291719003568
  22. Lei, Du; Pinaya, Walter H. L.; Young, Jonathan; Amelsvoort, Therese; Marcelis, Machteld; Donohoe, Gary; Mothersill, David O.; et al. "Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual". Human Brain Mapping 41 5 (2019): 1119-1135. http://dx.doi.org/10.1002/hbm.24863.
    10.1002/hbm.24863
  23. Lei, Du; Pinaya, Walter H. L.; van Amelsvoort, Therese; Marcelis, Machteld; Donohoe, Gary; Mothersill, David O.; Corvin, Aiden; et al. "Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics". Psychological Medicine 50 11 (2019): 1852-1861. http://dx.doi.org/10.1017/s0033291719001934.
    10.1017/s0033291719001934
  24. Petros, Natalia; Mechelli, Andrea; Fusar-Poli, Paolo; Vieira, Sandra; Rowland, Emma; McGuire, Philip. "Towards a framework for good outcome in people at clinical high risk for psychosis: A Delphi consensus study". Schizophrenia Research 208 (2019): 209-216. http://dx.doi.org/10.1016/j.schres.2019.02.019.
    10.1016/j.schres.2019.02.019
  25. Vieira, Sandra; Gong, Qi-yong; Pinaya, Walter H L; Scarpazza, Cristina; Tognin, Stefania; Crespo-Facorro, Benedicto; Tordesillas-Gutierrez, Diana; et al. "Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence". Schizophrenia Bulletin 46 1 (2019): 17-26. http://dx.doi.org/10.1093/schbul/sby189.
    10.1093/schbul/sby189
  26. Gong, Qiyong; Scarpazza, Cristina; Dai, Jing; He, Manxi; Xu, Xin; Shi, Yan; Zhou, Baiwan; et al. "A transdiagnostic neuroanatomical signature of psychiatric illness". Neuropsychopharmacology 44 5 (2018): 869-875. http://dx.doi.org/10.1038/s41386-018-0175-9.
    10.1038/s41386-018-0175-9
  27. Vieira, Sandra; Pinaya, Walter H. L.; Mechelli, Andrea. "SU82. Using Convolutional Neural Networks to Examine Structural Abnormalities in Schizophrenia". Schizophrenia Bulletin 43 suppl_1 (2017): S190-S190. http://dx.doi.org/10.1093/schbul/sbx024.078.
    10.1093/schbul/sbx024.078
  28. Vieira, Sandra; Pinaya, Walter H.L.; Mechelli, Andrea. "Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications". Neuroscience & Biobehavioral Reviews 74 (2017): 58-75. http://dx.doi.org/10.1016/j.neubiorev.2017.01.002.
    10.1016/j.neubiorev.2017.01.002
  29. Vale-Dias, Mª da Luz; Maia de Carvalho, Mariana; Joao Martins, Maria; Vieira, Sandra. "Mental Health Literacy, Stigma, Shame and Self Criticism: A Study Among Young Adults". International Journal of Developmental and Educational Psychology. Revista INFAD de Psicología. 2 1 (2016): 47. http://dx.doi.org/10.17060/ijodaep.2014.n1.v2.416.
    10.17060/ijodaep.2014.n1.v2.416
Preprint
  1. Petrova, Teya; Golay, Philippe; Klauser, Paul; Vieira, Sandra; Lepreux, Inès; Razavi, Boshra H.; Jenni, Raoul; et al. "The LOng-Term Follow-up TIPP project: LOFT study protocol, a 20-year prospective study of early psychosis patients". 2024. https://doi.org/10.22541/au.172153351.13319968/v1.
    10.22541/au.172153351.13319968/v1
  2. Schöttner, Mikkel; Vieira, Sandra. "The Multi-Dimensional Structure of Psychotic Disorders". 2024. https://doi.org/10.31234/osf.io/zwa4y.
    10.31234/osf.io/zwa4y
Working paper
  1. Vieira, Sandra. 2021. "Predicting Response to Cognitive-Behavioural Therapy for Psychosis at the Individual Level Using Routine Clinical Data".
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2025/06/02 Uncovering Heterogeneity in Clinical High Risk for Psychosis Using Anomaly Detection AMP SCZ Annual Meeting
(United States)
2025/06/01 Trauma-informed predictive models of remission in early psychosis European Congress of Child and Adolescent Psychiatry
(France)
2025/05/22 Assessment of high-risk states for psychosis 10.º Encontro Nacional de Intervenção Precoce – Primeiro Episódio Psicótico
2025/04/24 Multivariate brain-behaviour associations in psychiatry Congress of the Society of Biological Psychiatry
(Canada)
2025/03/28 DETECT: Deteção de jovens em risco de psicose 1st International Conference on Young Adults
(Portugal)
2024/05/23 DETECT: detecção de risco para psicose na populacao geral 9º Encontro Nacional Intervenção Precoce na Psicose
(Portugal)
2024/05/09 Predicting Response to Cognitive-Behavioural Therapy: A Meta-Analysis Society of Biological Psychiatry
(United States)
2023/11/24 Conseguimos prever quem vai melhorar após um episódio psicótico? XVII Congresso Nacional de Psiquiatria
2023/07/12 Trauma-informed predictive models of remission in early psychosis Early Intervention in Mental Health 14
(Switzerland)
2022 Multimodal normative modelling in early psychosis IoPPN Research Festival
King's College London
2021 Neurofind: Using deep learning to identify abnormal brain structural patterns in neuropsychiatric disorders at the individual level Federation of European Neurosciences Societies Conference
Federation of European Neurosciences Societies (FENS)
2021 Using deep learning to identify abnormal brain structural patterns in neuropsychiatric disorders at the individual level Federation of European Neuroscience Societies Congress
Federation of European Neuroscience Societies
2021 Using normative modelling to predict clinical outcomes in early psychosis 15th Portuguese National Congress of Psychiatry
Sociedade Portuguesa de Psiquiatria e Saúde Mental
2021 Diagnostic classification of first-episode psychosis using machine learning: from supervised to normative models Seminar in Neurosicence and Mental Health
University College London
2018 Common Neuroanatomical Abnormalities in First Episode Psychosis Across Several Independent Samples Schizophrenia International Research Society
Schizophrenia International Research Society (Florence, Italy)
2016 Deep Learning in Psychiatric Neuroimaging IoPPN Machine Learning Journal Club
Institute of Psychiatry, Psychology and Neuroscience (King's College London) (London, United Kingdom)
2011 O Papel da Aceitação Experiencial na Ansiedade Social em Adolescentes – Resultados Prelimnares. II Conferências Internacionais
CINEICC, Universidade de Coimbra, Portugal. (Coimbra, Portugal)

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2024/01/05 - Current Predicting long-term outcomes in psychosis
Supervisor
Centre Hospitalier Universitaire Vaudois, Switzerland
2024/06/01 - 2028/06/01 Resilience factors and moderators between childhood trauma and psychosis
Co-supervisor
Centre Hospitalier Universitaire Vaudois Département de Psychiatrie, Switzerland
2021/05/10 - 2021/09/03 Can we predict who will respond to Cognitive-Behavioural Therapy? A review of machine learning studies
Supervisor
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2021/05/10 - 2021/09/03 Impact of the COVID-19 pandemic on the mental health of young people
Co-supervisor
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2021/05/10 - 2021/09/03 Systematic Review of Visual Hallucinations in First Episode Psychosis
Co-supervisor
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2020/11/01 - 2021/09/03 Social Cognition, Childhood Trauma and Psychosis
Supervisor
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2019/10/01 - 2020/09/03 Is there any association between childhood adversity and the volume of hippocampus and amygdala in psychosis?
Co-supervisor
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2019/10/01 - 2020/09/01 Effect of Cannabis Use on the Brain Reward Circuitry Functional Connectivity in Patients with First Episode of Psychosis
Co-supervisor
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2022/12/08 Onset probability prediction of schizophrenia based on a multimodal approach Vânia Tavares (PhD)

Association member

Society Organization name Role
2022 - Current Schizophrenia International Research Society Member
2020 - Current IEPA Early Intervention in Mental Health Member
2020 - Current Higher Education Academy Associate Fellow
2020 - Current Health and Care Professions Council Clinical Psychologist
2013 - Current Ordem dos Psicólogos Portugueses Psychologist

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2021 - Current Research Projects MSc Early Intervention in Psychosis (Master) King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2019 - Current Cognitive-Behavioural Therapy MSc Mental Health Studies (Master) King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2017 - Current Clinical Outcome Measures in Psychiatry MSc Psychiatric Research (Master) King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2016 - Current Basic Statistics: don't scared! MSc Early intervention in Psychosis (Master) King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2016 - Current Using Machine Learning to Make Personalized Diagnostic and Treatment Decisions MSc Early Intervention in Psychosis (Master) King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2025/05/28 - 2025/05/28 Introduction to Machine Learning Applications in Psychiatry Quantitative Methods in Psychiatry (Postgraduate Certificate) Centre Hospitalier Universitaire Vaudois Département de Psychiatrie, Switzerland
2021/05 - 2021/05 Applications of Machine Learning in Clinical Practice Statistics for cognitive neuroscience (Bachelor) Università degli Studi di Padova, Italy
2021/02 - 2021/02 Introduction to Machine Learning in Psychiatric Neuroimaging MRInference Winter School Università degli Studi di Padova, Italy
2021/02 - 2021/02 The Machine Learning Pipeline in Psychiatric Neuroimaging MRInference Winter School Università degli Studi di Padova, Italy
2021/02 - 2021/02 Machine Learning in Psychiatric Neuroimaging in Python MRInference Winter School
2016 - 2019 Psychosis: Prevention, Diagnosis and Treatment BSc Psychology King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2016 - 2019 Research Methods in Psychology BSc Psychology (Bachelor) King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
2015 - 2017 General academic skills tutorials MSc Mental Health Studies King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom
Distinctions

Award

2022 SIRS Early Career Research Award
Schizophrenia International Research Society, United States
2019 Centre for Doctoral Studies Travel Award
King's College London, United Kingdom
2018 Centre for Doctoral Studies Travel Award
King's College London, United Kingdom
2018 Guarantors of Brain Travel Award
Guarantors Of Brain, United Kingdom
2017 Guarantors of Brain Travel Award
Guarantors Of Brain, United Kingdom

Title

2017 Nomination for the Teaching Excellence Awards
King's College London Institute of Psychiatry Psychology and Neuroscience, United Kingdom

Other distinction

2019 Machine Learning: Methods and Applications to Brain Disorders
Elsevier Inc, United States