Sandra Vieira (0817-AA2E-D4AC)

Curriculum Vitae

Sandra Vieira

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.

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Identificação

Identificação pessoal

Nome completo: Sandra Vieira

Nomes de citação

Vieira, Sandra

Identificadores de autor

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

Websites

https://www.researchgate.net (Académico)
https://scholar.google.com/citations?user=uxWhsqkAAAAJ&hl=en (Académico)
https://mlmh-lab.github.io (Académico)

Domínios de atuação

Ciências Sociais - Psicologia
Ciências Médicas e da Saúde - Medicina Clínica - Psiquiatria

Idiomas

Idioma	Conversação	Leitura	Escrita	Compreensão	Peer-review
Português (Idioma materno)
Inglês	Utilizador proficiente (C2)	Utilizador proficiente (C2)	Utilizador proficiente (C2)	Utilizador proficiente (C2)	Utilizador proficiente (C2)

Formação

	Grau	Classificação
2015/10/02 - 2019/09/03 Concluído	PhD in Psychosis (Doctor of Philosophy) King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido "Using deep learning to investigate neuroanatomical abnormalities in first-episode of psychosis" (TESE/DISSERTAÇÃO)
2013/09/25 - 2014/08/31 Concluído	Psychiatric Research (Master) King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido "Hippocampal Volume in Individuals at Ultra High-Risk for Psychosis" (TESE/DISSERTAÇÃO)
2005/09/01 - 2011/09/12 Concluído	Psicologia (Mestrado integrado) Especialização em Psicologia Clinica Universidade de Coimbra Faculdade de Psicologia e de Ciências da Educação, Portugal "Mindfulness and Acceptance in Social Anxiety in Adolescents" (TESE/DISSERTAÇÃO)

Percurso profissional

Ciência

	Categoria Profissional Instituição de acolhimento	Empregador
2023/07/01 - Atual	Investigador principal (carreira) (Investigação)	Centre Hospitalier Universitaire Vaudois, Suiça

2021/07/01 - Atual	Investigador principal (carreira) (Investigação)	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido
	Wellcome Trust, Reino Unido
2019/08/01 - 2021/03/31	Pós-doutorado (Investigação)	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido

2015/10 - 2019/08	Investigador (Investigação)	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido

Docência no Ensino Superior

	Categoria Profissional Instituição de acolhimento	Empregador
2016 - Atual	Assistente Convidado (Docente Universitário)	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido

2015 - 2017	Monitor (Docente Universitário)	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido

Outros

	Categoria Profissional Instituição de acolhimento	Empregador
2024/09/01 - Atual	Head of the Research Unit, Service of General Psychiatry, Department of Psychiatry	Centre Hospitalier Universitaire Vaudois, Suiça

2016 - 2021	Clinical Research Worker	South London and Maudsley NHS Foundation Trust, Reino Unido

2014/03 - 2014/11	Clinical Placement	South London and Maudsley NHS Foundation Trust, Reino Unido

2012 - 2013	Psicóloga Clínica (estágio profissional)	Centro Hospitalar e Universitário de Coimbra EPE, Portugal

Projetos

Bolsa

	Designação	Financiadores
2025/01/03 - Atual	Trajectories and Predictors in the Clinical High Risk for Psychosis Population: Prediction Scientific Global Consortium (PRESCIENT) U01MH124631 Investigador	National Institute of Mental Health
2024/02/01 - Atual	Predicting symptom remission in early psychosis using static and dynamic machine learning models xxx Co-Investigador Responsável (Co-IR)
2025/02/20 - 2026/08/20	DETECT: Identifying individuals at high risk of developing psychosis using artificial intelligence 2023.13586.PEX Investigador responsável	Fundação para a Ciência e a Tecnologia Em curso
2021/07 - 2026/08	Using multimodal normative modelling to predict clinical outcomes in early psychosis TBD Investigador responsável King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido	Wellcome Trust
2015/10/02 - 2019/09/03	Using deep learning to investigate neuroanatomical abnormalities in first episode of psychosis SFRH/BD/103907/2014 Bolseiro de Doutoramento King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido	Associação para a Inovação e Desenvolvimento da FCT

Projeto

	Designação	Financiadores
2019/10/01 - 2021/03	Using deep learning technology to make individualised inferences in brain-based disorders info:eu-repo/grantAgreement/WT/Innovations/208519/ Investigador Pós-doutorado King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido	Wellcome Trust Em curso
2019/09/15 - 2021/01	PSYSCAN— Translating neuroimaging findings from research into clinical practice info:eu-repo/grantAgreement/NHMRC/Targeted Calls/1074555/AU Investigador Pós-doutorado King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido	European Commission Em curso

Outro

	Designação	Financiadores
2021 - Atual	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 Investigador Universidade do Minho, Portugal
2012 - 2013	"Don't Burn" - Mindfulness e Burnout N/A Outra

Produções

Publicações

Artigo em revista	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): 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 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 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 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 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 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 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 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 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 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 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 Vieira, Sandra. "Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer’s disease: a multi-cohort study". Scientific Reports (2021): Em revisão 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): Aceite para publicação Vieira, Sandra. "Overview and main applications of brain age in psychiatric neuroimaging". EBioMedicine (2021): Em revisão 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 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 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 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 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 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 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 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 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 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 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 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 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 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
Capítulo de livro	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 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 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 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 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 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 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 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 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
Documento de trabalho	Vieira, Sandra. 2021. "Predicting Response to Cognitive-Behavioural Therapy for Psychosis at the Individual Level Using Routine Clinical Data".
Edição de livro	Vieira, Sandra; Andrea Mechelli, ed. Machine Learning: Methods and Applications to Brain Disorders. 2020.
Pré-impressão	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 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

Atividades

Apresentação oral de trabalho

	Título da apresentação	Nome do evento Anfitrião (Local do evento)
2025/06/02	Uncovering Heterogeneity in Clinical High Risk for Psychosis Using Anomaly Detection	AMP SCZ Annual Meeting (Estados Unidos)
2025/06/01	Trauma-informed predictive models of remission in early psychosis	European Congress of Child and Adolescent Psychiatry (França)
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 (Canadá)
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 (Estados Unidos)
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 (Suiça)
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, Itália)
2016	Deep Learning in Psychiatric Neuroimaging	IoPPN Machine Learning Journal Club Institute of Psychiatry, Psychology and Neuroscience (King's College London) (London, Reino Unido)
2011	O Papel da Aceitação Experiencial na Ansiedade Social em Adolescentes – Resultados Prelimnares.	II Conferências Internacionais CINEICC, Universidade de Coimbra, Portugal. (Coimbra, Portugal)

Orientação

	Título / Tema Papel desempenhado	Curso (Tipo) Instituição / Organização
2024/01/05 - Atual	Predicting long-term outcomes in psychosis Orientador	Centre Hospitalier Universitaire Vaudois, Suiça
2024/06/01 - 2028/06/01	Resilience factors and moderators between childhood trauma and psychosis Coorientador	Centre Hospitalier Universitaire Vaudois Département de Psychiatrie, Suiça
2021/05/10 - 2021/09/03	Can we predict who will respond to Cognitive-Behavioural Therapy? A review of machine learning studies Orientador	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido
2021/05/10 - 2021/09/03	Impact of the COVID-19 pandemic on the mental health of young people Coorientador	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido
2021/05/10 - 2021/09/03	Systematic Review of Visual Hallucinations in First Episode Psychosis Coorientador	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido
2020/11/01 - 2021/09/03	Social Cognition, Childhood Trauma and Psychosis Orientador	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido
2019/10/01 - 2020/09/03	Is there any association between childhood adversity and the volume of hippocampus and amygdala in psychosis? Coorientador	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido
2019/10/01 - 2020/09/01	Effect of Cannabis Use on the Brain Reward Circuitry Functional Connectivity in Patients with First Episode of Psychosis Coorientador	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido

Júri de grau académico

	Tema Tipo de participação	Nome do candidato (Tipo de grau) Instituição / Organização
2022/12/08	Onset probability prediction of schizophrenia based on a multimodal approach	Vânia Tavares (Doutoramento)

Curso / Disciplina lecionado

	Disciplina	Curso (Tipo)	Instituição / Organização
2021 - Atual	Research Projects	MSc Early Intervention in Psychosis (Master)	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido
2019 - Atual	Cognitive-Behavioural Therapy	MSc Mental Health Studies (Master)	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido
2017 - Atual	Clinical Outcome Measures in Psychiatry	MSc Psychiatric Research (Master)	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido
2016 - Atual	Basic Statistics: don't scared!	MSc Early intervention in Psychosis (Master)	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido
2016 - Atual	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, Reino Unido
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, Suiça
2021/05 - 2021/05	Applications of Machine Learning in Clinical Practice	Statistics for cognitive neuroscience (Bachelor)	Università degli Studi di Padova, Itália
2021/02 - 2021/02	Introduction to Machine Learning in Psychiatric Neuroimaging	MRInference Winter School	Università degli Studi di Padova, Itália
2021/02 - 2021/02	The Machine Learning Pipeline in Psychiatric Neuroimaging	MRInference Winter School	Università degli Studi di Padova, Itália
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, Reino Unido
2016 - 2019	Research Methods in Psychology	BSc Psychology (Bachelor)	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido
2015 - 2017	General academic skills tutorials	MSc Mental Health Studies	King's College London Institute of Psychiatry Psychology and Neuroscience, Reino Unido

Membro de associação

	Nome da associação	Tipo de participação
2022 - Atual	Schizophrenia International Research Society	Member
2020 - Atual	IEPA Early Intervention in Mental Health	Member
2020 - Atual	Higher Education Academy	Associate Fellow
2020 - Atual	Health and Care Professions Council	Clinical Psychologist
2013 - Atual	Ordem dos Psicólogos Portugueses	Psychologist

Distinções

Prémio

2022	SIRS Early Career Research Award Schizophrenia International Research Society, Estados Unidos
2019	Centre for Doctoral Studies Travel Award King's College London, Reino Unido
2018	Centre for Doctoral Studies Travel Award King's College London, Reino Unido
2018	Guarantors of Brain Travel Award Guarantors Of Brain, Reino Unido
2017	Guarantors of Brain Travel Award Guarantors Of Brain, Reino Unido

Título

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

Outra distinção

2019	Machine Learning: Methods and Applications to Brain Disorders Elsevier Inc, Estados Unidos