Data Science for Mental Health (DS4MH) @ The Alan Turing Institute

Upcoming Talks

Date Time Presenter Title
2024.04.18 15:00 Introduction
15:05 Dr. Dominic Oliver
(University of Oxford)
Implementation and dynamic refinement of clinical prediction models to enhance psychosis prevention

Detection of individuals at clinical high risk of psychosis is sub-optimal and inefficient, limiting the potential of effective primary indicated prevention. To address this, we previously developed, validated and implemented clinical prediction models using routinely collected electronic health record data for individuals at risk of psychosis in secondary mental health care. However, this model can only produce a single risk estimation at baseline, whereas individuals’ symptoms and substance use changes over time, and so does their psychosis risk. This talk will outline our past and ongoing implementation work as well as efforts to refine the model to dynamically update risk estimates as new information is entered into patients’ electronic health records.

15:45 Dr. Wenzhuo Zhou
(University of California Irvine)
Actor-critic graph neural networks: A complete recipe for neural decoding

In recent years, graphs have become one of the most powerful abstractions for complex data, including brain networks, knowledge graphs, purchasing behavior, as well as disease pathways. Among many graph representation learning approaches, Graph Neural Networks (GNNs) have achieved promising performance in a variety of graph-focused tasks. Despite their success, existing GNNs suffer from two significant limitations that hinder their broader applications in scientific discovery: a lack of interpretability in results due to their black-box nature, and an inability to learn representations of varying order information with statistical guarantees. In this talk, I will present a novel Actor-Critic Graph Neural Network (AC-GNN), which is able to integrate information of various orders under graph topology and provide interpretable results by identifying compact subgraph structures. Statistically, we establish the generalization error bound for AC-GNN via empirical Rademacher complexity, and showcase its power to represent layer-wise neighborhood mixing. Comprehensive numerical experiments using benchmark and synthetic datasets are conducted. Interestingly, we use AC-GNN to decode the behavior-oriented information from neuronal activity signals and confirm several important conjectures in neurobiology, thereby highlighting its effectiveness in advancing scientific research.

16:20 After talks discussion

Previous Talks


Date Time Presenter Title
2024.04.18 15:00 Introduction
15:05 Dr. Dominic Oliver
(University of Oxford)
Implementation and dynamic refinement of clinical prediction models to enhance psychosis prevention
15:45 Dr. Wenzhuo Zhou
(University of California Irvine)
Actor-critic graph neural networks: A complete recipe for neural decoding
16:20 After talks discussion
2024.02.15 15:00 Introduction
15:05 Dr. Isabel Berwian
(Princeton University)
Computational models of learning to understand and improve change mechanisms in psychotherapy
15:45 Dr. Josefien Breedvelt
(King’s College London)
Preventing depressive relapse – what works for whom
16:20 After talks discussion
2024.01.18 15:00 Introduction
15:05 Daniela Teodorescu
(LMU Munich)
Language and mental health: measures of emotion dynamics from text as linguistic biosocial markers
15:45 Kailai Yang
(University of Manchester)
MentaLLaMA: Interpretable mental health analysis on social media with large language models
16:20 After talks discussion


Date Time Presenter Title
2023.11.16 15:00 Introduction
15:05 Ali Behrouz
(Cornell University)
Unsupervised and explainable learning of temporal multiplex patterns to detect anomalous brain activity
15:45 Arvind Pillai
(Dartmouth College)
Generalizability in mental health: a spotlight on speech-based suicidal ideation detection
16:20 After talks discussion
2023.10.19 15:00 Introduction
15:05 Prof. Gary Green
(University of York)
Structural and brain activity changes after head injury
15:45 Dr. Josefina Cruzat
(Universidad Adolfo Ibáñez)
Temporal irreversibility of large-scale brain dynamics in Alzheimer's disease
16:20 After talks discussion
2023.09.14 15:00 Introduction
15:05 Prof. Seena Fazel
(University of Oxford)
Suicide prediction – recent developments including regression-based compared with machine learning approaches
15:40 After talks discussion
2023.07.20 15:00 Introduction
15:05 Dr. Danilo Moggia
(University of Trier)
Advancing precision psychotherapy: embracing causal inference with continuous-time dynamic modelling
15:45 Dr. Micol Spitale
(University of Cambridge)
Robotic coaches to promote mental well-being in the workplace
16:20 After talks discussion
2023.06.15 15:00 Introduction
15:05 Dr. Keno Juchems
(Limbic AI)
Predicting diagnoses and improving outcomes with ML for mental health
15:40 Dr. Omid Ebrahimi
(University of Oxford)
Towards precision in the diagnostic profiling of patients: leveraging symptom dynamics in the assessment of major depressive disorder
16:20 After talks discussion
2023.05.18 15:00 Introduction
15:05 Dr. Qiang Liu
(University of Oxford)
Personalised treatment for cognitive impairment in dementia
15:45 After talks discussion
2023.04.20 15:00 Introduction
15:05 Dr. Edmond Ho
(University of Glasgow)
Emotion analysis and transfer for facial expressions and body movements
15:40 Dr. Gabriela Lunansky
(University of Amsterdam)
Intervening on psychopathology networks through simulations
16:20 After talks discussion
2023.03.16 15:00 Introduction
15:05 Dr. Sean Kelley
(Trinity College Dublin)
Using social media data as a novel approach for constructing personalised depression networks
15:40 Prof. Gary Brown
(Royal Holloway, University of London)
Psychometrics of CBT depression constructs: Potential lessons for data science
16:20 After talks discussion
2023.02.16 15:00 Introduction
15:05 Michael Hoefer
(University of Colorado Boulder)
Designing technology to support co-tracking of mental wellbeing in bipolar disorder
15:40 Prof. Christine Parsons
(Aarhus University),
Dr. Kirstin Purves
(King's College London)
Different trajectories of depression, anxiety and anhedonia symptoms in the first 12 months of the COVID-19 pandemic in a UK longitudinal sample
16:20 After talks discussion
2023.01.19 15:00 Introduction
15:05 Dr. Daniele Bertolini
Machine learning enables faster clinical trials for Alzheimer's Disease
15:45 Rosamund Powell
(Alan Turing Institute)
Trustworthy assurance of digital mental health technologies
16:15 After talks discussion


Date Time Presenter Title
2022.11.17 15:00 Introduction
15:05 Dr. Stefan Rennick-Egglestone
(University of Nottingham)
What can we learn from publicly shared online accounts of mental health recovery?
15:40 Dr. Anja Thieme
Responsible development of AI applications for online CBT treatment
16:15 After talks discussion
2022.10.20 15:00 Introduction
15:05 Dr. Bernadette Stolz
Topological data analysis of task-based fMRI data from experiments on schizophrenia
15:40 Dr. Juan Carlos Díaz-Patiño & Dr. Sarael Alcauter Solorzano
(Universidad Nacional Autónoma de México)
Topological Data Analysis applied to the study of the functional brain connectome: Statistical comparisons using Betti curves
16:15 After talks discussion
2022.09.15 15:00 Introduction
15:05 Prof. Francis Szele
(University of Oxford)
Molecular and cellular approaches to understanding schizophrenia
15:40 Prof. Dana Atzil-Slonim
(Bar-Ilan University)
Revealing verbal and non-verbal signals of positive change in the treatment of depression
16:15 After talks discussion
2022.07.21 15:00 Introduction
15:05 Dr. Vedant Das Swain
(Georgia Institute of Technology)
Semantic gap in predicting mental wellbeing through passive sensing
15:40 Dan Adler
(Cornell University)
Are mental health digital biomarkers reliable?
16:15 After talks discussion
2022.06.16 15:00 Introduction
15:05 Dr. Vincent Taschereau-Dumouchel
(University of Montreal)
Towards closed-loop control of affective processes in the brain
16:00 After talks discussion
2022.05.19 15:00 Introduction
15:05 Yuezhou Zhang
(King's College London)
Longitudinal relationships between depressive symptom severity and phone-measured mobility
15:40 Dr. Marijn ten Thij
(Maastricht University)
Measuring distorted thinking in written text
16:15 After talks discussion
2022.04.21 15:00 Introduction
15:05 Lasse Hansen
(Aarhus University)
A generalizable speech emotion recognition model reveals depression and remission
15:40 Dr. Federica Marinaro
(Alzheimer's Research UK)
The EDoN initiative: an international and multidisciplinary effort for transforming the early detection of dementia-causing diseases
16:15 After talks discussion
2022.03.17 15:00 Introduction
15:05 Dr. Nikos Flemotomos
(University of Southern California)
Automated quality assessment of cognitive behavioral therapy sessions through highly contextualized language representations
15:40 Dr. Carl Yang
(Emory University)
Graph neural networks for connectome-based mental disorder analysis
16:15 After talks discussion
2022.02.17 15:00 Introduction
15:05 Dr. Maxime Taquet
(University of Oxford)
Neuropsychiatric sequelae of COVID: from broad to deep phenotyping
15:40 After talks discussion
2022.01.20 15:00 Introduction
15:05 Prof. John Geddes
(University of Oxford)
2022: Time to accelerate the application of data science to mental health
15:40 After talks discussion


Date Time Presenter Title
2021.11.18 15:00 Introduction
15:05 Krishnakant Saboo
(University of Illinois Urbana-Champaign)
Reinforcement learning based disease progression model for Alzheimer's Disease
15:40 Dr. Katie Lewis
(Cardiff University)
The effect of the COVID-19 pandemic on individuals with pre-existing psychiatric disorders
16:15 After talks discussion
2021.10.21 15:00 Introduction
15:05 Tayla McCloud
The mental health of higher education students: a comparison with non-students and an investigation into the role of finances and debt
15:40 Mallory Dobias
(Stony Brook University)
Expanding our reach: Considerations and future directions for improving adolescents’ access to mental health care
16:20 After talks discussion
2021.09.16 15:00 Introduction
15:10 Yilin Pan
(University of Sheffield)
Speech- and language-based automatic dementia detection and tracking in a home-based environment
15:45 Dr. Kathryn Mansfield & Dr. Sinead Langan
(The London School of Hygiene & Tropical Medicine)
Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study
16:20 After talks discussion
2021.07.15 15:00 Introduction
15:15 Han-Chin Shing
(University of Maryland)
A prioritization model for suicidality risk assessment
15:45 Dr. Stefano Goria
The challenges of remote multi-modal data collection
16:15 After talks discussion
2021.06.17 15:00 Introduction
15:30 Dr. Caroline Nettekoven
(University of Cambridge)
Towards transcribed speech networks as a marker for psychosis risk
16:00 Dr. Kimberly Carpenter
(Duke University)
Digital behavioral phenotyping detects atypical patterns of facial expression in toddlers with autism
16:30 After talks discussion
2021.05.20 15:00 Introduction
15:05 Dr. Lindsay Dewa
(Imperial College London)
CCopeY: Co-producing with young people to examine youth mental health in the UK during COVID-19
15:30 Dr. Hei Wan (Karen) Mak
The role of arts and culture in supporting health and wellbeing
16:00 After talks discussion
2021.04.15 15:00 Introduction
15:30 Dr. Talayeh Aledavood
(Aalto University)
Digital phenotyping for patients with mood disorders
16:00 Dr. Vincent Tseng
Developing interpretable models to predict symptoms of schizophrenia
16:30 After talks discussion
2021.03.18 15:00 Introduction
15:30 Dr. Nicole Dalia Cilia
(University of Cassino and Southern Lazio)
From handwriting to cognitive impairment diagnosis: a machine learning approach
16:00 Dr. Saturnino Luz
(University of Edinburgh)
Digital biomarkers for dementia prediction
16:30 After talks discussion
2021.02.18 15:00 Introduction
15:30 Dr. Richard Shaw
(University of Glasgow)
Living alone’s, loneliness’s and emotional support’s relationship with death by suicide and hospital admissions for self-harm: A data linkage study using UK Biobank
16:00 Dr. Zhuoqing (George) Chang
(Duke University)
Novel scalable computational methods reveal atypical patterns of gaze in toddlers with autism spectrum disorder
16:30 After talks discussion
2021.01.14 15:00 Introduction
15:30 Dr. Karen Mansfield
(University of Oxford)
Estimating and tracking prevalence of mental health problems in annually-repeated cross-sectional survey data from a school population
16:00 Dr. Alice Wickersham
(King's College London)
Using linked health and education data to investigate school performance trajectories among children and adolescents with depression
16:30 After talks discussion


Date Time Presenter Title
2020.11.19 15:00 Introduction
15:30 Dr. Feifei Bu
COVID-19 social study: Understanding the psychological & social impact of the pandemic
16:00 Dr. Matthias Pierce
(University of Manchester)
The effect of the pandemic on population mental health: findings from Understanding Society
16:30 After talks discussion
2020.10.15 15:00 Introduction
15:30 Lucia Lushi Chen
(University of Edinburgh)
Monitoring psychological processes underpinning mental disorders using social media data
16:00 Dr. Lucia Valmaggia
(King's College London)
Virtual reality for mental health
16:30 After talks discussion
2020.09.17 15:00 Introduction
15:30 Dr. Margarida Madaleno
Do people adapt to stressors? Evidence from Twitter
16:00 Dr. Paris Alexandros Lalousis
(University of Birmingham)
Transdiagnostic Features, Comorbidity and Classification of Recent Onset Psychosis and Depression: a Multimodal Machine Learning Approach
16:30 After talks discussion
2020.07.16 15:00 Introduction
15:30 Nina Di Cara
(University of Bristol)
Mood Music: Can we infer wellbeing from Spotify?
16:00 Dr. Valentin Tablan
(Ieso Digital Health)
Natural language processing for mental healthcare
16:30 After talks discussion
2020.06.18 15:00 Introduction
15:30 Dr. Sumithra Velupillai
(King's College London)
Extracting psychosis symptom onset information from electronic health records using natural language processing approaches
16:00 Dr. Katharine Smith
(University of Oxford)
Digital technologies and telepsychiatry: an evidence-based synthesis of current guidance
16:30 After talks discussion
2020.05.21 15:00 Introduction
15:30 Dr. Michael Browning
(University of Oxford)
A computational approach to mood instability
16:00 Dr. Roland Zahn
(King's College London)
Predicting clinical outcomes in major depressive disorder
16:30 After talks discussion
2020.04.16 15:00 Introduction
15:30 Aaron Kandola
Physical activity, sedentary behaviour, and common mental health disorders in the population
16:00 Prof. Ann John
(Swansea University)
How do my feelings become numbers?
16:30 After talks discussion
2020.03.19 15:00 Introduction
15:30 Dr. Vasilisa Skvortsova
(Max Planck UCL Centre)
Computational noise at the origin of behavioral variability in healthy brain and disease
16:00 Prof. Rafael A. Calvo
(Imperial College London)
Responsible Health Technology
16:30 After talks discussion
2020.02.27 15:00 Introduction
15:30 Dr. Richard Bethlehem
(University of Cambridge)
Typical and Atypical Brain Development: What Is Normal
16:00 Dr. Fasih Haider
(University of Edinburgh)
Privacy Based Acoustic Data Collection System for Mental Health Monitoring
16:30 After talks discussion
2020.01.30 15:00 Introduction
15:30 Georgia Aitkenhead
(Alan Turing Institute)
Participatory Science to Empower: Building a Citizen Science Platform
16:00 Dr. Julia Ive
(Imperial College London)
Towards Shareable Data in Clinical Natural Language Processing: Generating Synthetic Electronic Health Records
16:30 After talks discussion


Date Time Presenter Title
2019.12.19 15:30 Introduction
15:45 Dr. Paul Moore
(University of Oxford)
Automatic validation for facial expression synthesis
16:30 After talks discussion
2019.11.14 15:15 Introduction
15:30 Dr. Sarah Morgan
(University of Cambridge)
What can MRI brain imaging and patients’ speech tell us about schizophrenia?
16:30 After talks discussion
2019.10.10 15:00 Introduction
15:30 Marzia Scelsi
The genetics of dementia progression and heterogeneity
16:00 Dr. Maxime Taquet
(University of Oxford)
Seeking markers of mental illness: from microstructure imaging to digital phenotyping
16:30 After talks discussion
2019.09.19 15:00 Introduction
15:30 Dr. Neil Oxtoby
Intro to Data-Driven Disease Progression Modelling
16:00 Dr. Alexandra Young
Data-driven modelling of disease subtypes and their progression
16:30 After talks discussion
2019.07.11 15:30 Introduction
16:00 James Morrill
(University of Oxford)
Improved extraction of information from physiological time-series data, with application to stress detection
16:30 Ang Li
(Alan Turing Institute)
Building clinically useful biomarkers in Psychiatry: Is neuroimaging a promising tool?
17:00 After talks discussion
2019.06.20 15:00 Introduction
15:30 Dr. Liu Shi
(University of Oxford)
Blood Proteomic Biomarkers for Alzheimer's Disease
16:00 Dr. Sara Ahmadi-Abhari
(Imperial College London)
Forecasting trends in prevalence of dementia and disability in five European countries to 2050 and estimating the impact of public health interventions: a Markov modelling study
16:30 After talks discussion
2019.05.23 15:00 Introduction
15:30 Natasha Clarke
(St George's, University of London)
Digital Discourse as Clinical Data: Investigating Spoken and Written Language in Alzheimer’s Disease Using Natural Language Processing
16:00 Prof. Lefkos T. Middleton
(Imperial College London)
Alzheimer’s disease and other late onset dementias. A world-wide challenge for the 21st century and beyond
16:30 After talks discussion
2019.04.18 15:00 Introduction
15:30 Imanol Pérez Arribas
(University of Oxford)
A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder
16:00 Prof. Stephen Friend
(University of Oxford, 4YouandMe)
One clinician’s musings on what might be the known unknowns, and unknown unknowns in using wearables to forecast symptom transitions
16:30 After talks discussion
2019.03.14 15:00 Introduction
15:30 Prof. David Llewellyn
(University of Exeter)
Enhancing the prevention, treatment and diagnosis of dementia with data science and AI
16:00 Prof. Robert Stewart
(King's College London)
Natural language processing to support research in mental healthcare records – the CRIS experience
16:30 After talks discussion
2019.02.07 15:00 Introduction
15:30 Dr. Francesca Cormack
(Cambridge Cognition)
Digital technology for mental health research
16:00 Dr. Tanya Smith
(University of Oxford)
UK-Clinical Record Interactive Search (CRIS) – Accelerating mental health research using real world healthcare data
16:30 After talks discussion
2018.11.21 15:00 Introduction
16:30 Dr. Alejo Nevado-Holgado
(University of Oxford)
Talk about the MRC Pathfinder project
17:00 After talks discussion