Meetings

We organise monthly meetings (including half-an-hour long invited talks) at the Turing. Please join our mailing list for more and updated information.

The meetings are organised and moderated by Jenny Chim, Yue Wu and Emilio Ferrucci (previously organised by Bo Wang).

2023

Date Time Presenter Title of the talk
15.06.2023
15:00 Introduction
15:05 Keno Juchems Predicting diagnoses and improving outcomes with ML for mental health
15:40 Omid Ebrahimi Towards precision in the diagnostic profiling of patients: leveraging symptom dynamics in the assessment of major depressive disorder
16:20 After talks discussion
18.05.2023
15:00 Introduction
15:05 Qiang Liu Personalised treatment for cognitive impairment in dementia
15:45 After talks discussion
20.04.2023
15:00 Introduction
15:05 Edmond Ho Emotion analysis and transfer for facial expressions and body movements
15:40 Gabriela Lunansky Intervening on psychopathology networks through simulations
16:20 After talks discussion
16.03.2023
15:00 Introduction
15:05 Sean Kelley Using social media data as a novel approach for constructing personalised depression networks
15:40 Gary Brown Psychometrics of CBT depression constructs: Potential lessons for data science
16:20 After talks discussion
16.02.2023
15:00 Introduction
15:05 Michael Hoefer Designing technology to support co-tracking of mental wellbeing in bipolar disorder
15:40 Christine Parsons and Kirstin Purves 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
19.01.2023
15:00 Introduction
15:05 Daniele Bertolini Machine learning enables faster clinical trials for Alzheimer's Disease
15:45 Rosamund Powell Trustworthy assurance of digital mental health technologies
16:15 After talks discussion

2022

Date Time Presenter Title of the talk
17.11.2022
15:00 Introduction
15:05 Stefan Rennick-Egglestone What can we learn from publicly shared online accounts of mental health recovery?
15:40 Anja Thieme Responsible Development of AI Applications for Online CBT Treatment
16:15 After talks discussion
20.10.2022
15:00 Introduction
15:05 Bernadette Stolz Topological data analysis of task-based fMRI data from experiments on schizophrenia
15:40 Juan Carlos Díaz-Patiño & Sarael Alcauter Solorzano Topological Data Analysis applied to the study of the functional brain connectome: Statistical comparisons using Betti curves
16:15 After talks discussion
15.09.2022
15:00 Introduction
15:05 Francis Szele Molecular and Cellular Approaches to Undertstanding Schizophrenia
15:40 Dana Atzil-Slonim Revealing Verbal and Non-Verbal Signals of Positive Change in the Treatment of Depression
16:15 After talks discussion
21.07.2022
15:00 Introduction
15:05 Vedant Das Swain Semantic gap in predicting mental wellbeing through passive sensing
15:40 Dan Adler Are mental health digital biomarkers reliable?
16:15 After talks discussion
16.06.2022
15:00 Introduction
15:05 Vincent Taschereau-Dumouchel Towards closed-loop control of affective processes in the brain
16:00 After talks discussion
19.05.2022
15:00 Introduction
15:05 Yuezhou Zhang Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility
15:40 Marijn ten Thij Measuring Distorted Thinking in Written Text
16:15 After talks discussion
21.04.2022
15:00 Introduction
15:05 Lasse Hansen A generalizable speech emotion recognition model reveals depression and remission
15:40 Federica Marinaro The EDoN initiative: an international and multidisciplinary effort for transforming the early detection of dementia-causing diseases
16:15 After talks discussion
17.03.2022
15:00 Introduction
15:05 Nikos Flemotomos Automated quality assessment of cognitive behavioral therapy sessions through highly contextualized language representations
15:40 Carl Yang Graph neural networks for connectome-based mental disorder analysis
16:15 After talks discussion
17.02.2022
15:00 Introduction
15:05 Maxime Taquet Neuropsychiatric sequelae of COVID: from broad to deep phenotyping
15:40 After talks discussion
20.01.2022
15:00 Introduction
15:05 John Geddes 2022: Time to accelerate the application of data science to mental health
15:40 After talks discussion

2021

Date Time Presenter Title of the talk
18.11.2021
15:00 Introduction
15:05 Krishnakant Saboo Reinforcement learning based disease progression model for Alzheimer's Disease
15:40 Katie Lewis The effect of the COVID-19 pandemic on individuals with pre-existing psychiatric disorders
16:15 After talks discussion
21.10.2021
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 Expanding our reach: Considerations and future directions for improving adolescents’ access to mental health care
16:20 After talks discussion
16.09.2021
15:00 Introduction
15:10 Yilin Pan Speech- and language-based automatic dementia detection and tracking in a home-based environment
15:45 Kathryn Mansfield and Sinead Langan 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
15.07.2021
15:00 Introduction
15:15 Han-Chin Shing A prioritization model for suicidality risk assessment
15:45 Stefano Goria The challenges of remote multi-modal data collection
16:15 After talks discussion
17.06.2021
15:00 Introduction
15:30 Caroline Nettekoven Towards transcribed speech networks as a marker for psychosis risk
16:00 Kimberly Carpenter Digital behavioral phenotyping detects atypical patterns of facial expression in toddlers with autism
16:30 After talks discussion
20.05.2021
15:00 Introduction
15:05 Lindsay Dewa CCopeY: Co-producing with young people to examine youth mental health in the UK during COVID-19
15:30 Hei Wan (Karen) Mak The role of arts and culture in supporting health and wellbeing
16:00 After talks discussion
15.04.2021
15:00 Introduction
15:30 Talayeh Aledavood Digital phenotyping for patients with mood disorders
16:00 Vincent Tseng Developing interpretable models to predict symptoms of schizophrenia
16:30 After talks discussion
18.03.2021
15:00 Introduction
15:30 Nicole Dalia Cilia From handwriting to cognitive impairment diagnosis: a machine learning approach
16:00 Saturnino Luz Digital biomarkers for dementia prediction
16:30 After talks discussion
18.02.2021
15:00 Introduction
15:30 Richard Shaw 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 Zhuoqing (George) Chang Novel scalable computational methods reveal atypical patterns of gaze in toddlers with autism spectrum disorder
16:30 After talks discussion
14.01.2021
15:00 Introduction
15:30 Karen Mansfield Estimating and tracking prevalence of mental health problems in annually-repeated cross-sectional survey data from a school population
16:00 Alice Wickersham Using linked health and education data to investigate school performance trajectories among children and adolescents with depression
16:30 After talks discussion

2020

Date Time Presenter Title of the talk
18.02.2021
15:00 Introduction
15:30 Richard Shaw 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 Zhuoqing (George) Chang Novel scalable computational methods reveal atypical patterns of gaze in toddlers with autism spectrum disorder
16:30 After talks discussion
14.01.2021
15:00 Introduction
15:30 Karen Mansfield Estimating and tracking prevalence of mental health problems in annually-repeated cross-sectional survey data from a school population
16:00 Alice Wickersham Using linked health and education data to investigate school performance trajectories among children and adolescents with depression
16:30 After talks discussion
19.11.2020
15:00 Introduction
15:30 Feifei Bu COVID-19 Social Study: Understanding the Psychological & Social Impact of the Pandemic
16:00 Matthias Pierce The effect of the pandemic on population mental health: findings from Understanding Society
16:30 After talks discussion
15.10.2020
15:00 Introduction
15:30 Lucia Lushi Chen Monitoring Psychological Processes Underpinning Mental Disorders using Social Media Data
16:00 Lucia Valmaggia Virtual reality for mental health
16:30 After talks discussion
17.09.2020
15:00 Introduction
15:30 Margarida Madaleno Do people adapt to stressors? Evidence from Twitter
16:00 Paris Alexandros Lalousis Transdiagnostic Features, Comorbidity and Classification of Recent Onset Psychosis and Depression: a Multimodal Machine Learning Approach
16:30 After talks discussion
16.07.2020
15:00 Introduction
15:30 Nina Di Cara Mood Music: Can we infer wellbeing from Spotify?
16:00 Valentin Tablan Natural language processing for mental healthcare
16:30 After talks discussion
18.06.2020
15:00 Introduction
15:30 Sumithra Velupillai Extracting psychosis symptom onset information from electronic health records using natural language processing approaches
16:00 Katharine Smith Digital technologies and telepsychiatry: an evidence-based synthesis of current guidance
16:30 After talks discussion
21.05.2020
15:00 Introduction
15:30 Michael Browning A computational approach to mood instability
16:00 Roland Zahn Predicting clinical outcomes in major depressive disorder
16:30 After talks discussion
16.04.2020
15:00 Introduction
15:30 Aaron Kandola Physical activity, sedentary behaviour, and common mental health disorders in the population
16:00 Ann John How do my feelings become numbers?
16:30 After talks discussion
19.03.2020
15:00 Introduction
15:30 Vasilisa Skvortsova Computational noise at the origin of behavioral variability in healthy brain and disease
16:00 Rafael A. Calvo Responsible Health Technology
16:30 After talks discussion
27.02.2020
15:00 Introduction
15:30 Richard Bethlehem Typical and Atypical Brain Development: What Is Normal
16:00 Fasih Haider Privacy Based Acoustic Data Collection System for Mental Health Monitoring
16:30 After talks drinks
30.01.2020
15:00 Introduction
15:30 Georgia Aitkenhead Participatory Science to Empower: Building a Citizen Science Platform
16:00 Julia Ive Towards Shareable Data in Clinical Natural Language Processing: Generating Synthetic Electronic Health Records
16:30 After talks drinks

2018 - 2019

Date Time Presenter Title of the talk
19.12.2019
15:30 Introduction
15:45 Paul Moore Automatic validation for facial expression synthesis
16:30 After talks drinks
14.11.2019
15:15 Introduction
15:30 Sarah Morgan What can MRI brain imaging and patients’ speech tell us about schizophrenia?
16:30 After talks drinks
10.10.2019
15:00 Introduction
15:30 Marzia Scelsi The genetics of dementia progression and heterogeneity
16:00 Maxime Taquet Seeking markers of mental illness: from microstructure imaging to digital phenotyping
16:30 After talks drinks
19.09.2019
15:00 Introduction
15:30 Neil Oxtoby Intro to Data-Driven Disease Progression Modelling
16:00 Alexandra Young Data-driven modelling of disease subtypes and their progression
16:30 After talks drinks
11.07.2019
15:30 Introduction
16:00 James Morrill Improved extraction of information from physiological time-series data, with application to stress detection
16:30 Ang Li Building clinically useful biomarkers in Psychiatry: Is neuroimaging a promising tool?
17:00 After talks drinks
20.06.2019
15:00 Introduction
15:30 Liu Shi Blood Proteomic Biomarkers for Alzheimer's Disease
16:00 Sara Ahmadi-Abhari 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 drinks
23.05.2019
15:00 Introduction
15:30 Natasha Clarke Digital Discourse as Clinical Data: Investigating Spoken and Written Language in Alzheimer’s Disease Using Natural Language Processing
16:00 Lefkos T. Middleton Alzheimer’s disease and other late onset dementias. A world-wide challenge for the 21st century and beyond
16:30 After talks drinks
18.04.2019
15:00 Introduction
15:30 Imanol Pérez Arribas A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder
16:00 Stephen Friend 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 drinks
14.03.2019
15:00 Introduction
15:30 David Llewellyn Enhancing the prevention, treatment and diagnosis of dementia with data science and AI
16:00 Robert Stewart Natural language processing to support research in mental healthcare records – the CRIS experience
16:30 After talks drinks
07.02.2019
15:00 Introduction
15:30 Francesca Cormack Digital technology for mental health research
16:00 Tanya Smith UK-Clinical Record Interactive Search (CRIS) – Accelerating mental health research using real world healthcare data
16:30 After talks drinks
21.11.2018
15:00 Introduction
16:30 Alejo Nevado-Holgado Talk about the MRC Pathfinder project
17:00 After talk drinks