Data Science for Mental Health (DS4MH) @ The Alan Turing Institute
Upcoming Talks
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2025.04.17 | 15:00 | Introduction | |
| 15:05 | Barry Ryan (University of Edinburgh) |
Combining Clinical Embeddings with Multi-Omic Features for Improved Patient Classification and Interpretability in Parkinson’s disease
This talk will demonstrate the integration of Large Language Model (LLM)-derived clinical text embeddings from the Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) questionnaire with molecular genomics data to enhance patient classification and interpretability in Parkinson’s disease. By combining genomic modalities encoded using an interpretable biological architecture with a patient similarity network constructed from clinical text embeddings, the approach leverages both clinical and genomic information to provide a robust, interpretable model for disease classification and molecular insights. |
|
| 15:40 | Merve Cerit (Stanford University) |
Working with Screenomes to Build Person-Specific Models of Smartphone Use and Mental Health
In this talk, we will present our work on building person-specific models of smartphone use and mental health using high-frequency Screenome data. We will begin by sharing findings from an intensive longitudinal study that tracked individuals’ digital behaviors and mental health over time, using person-specific analyses to uncover nuanced, within-person associations that are often obscured in group-level studies. Building on this foundation, we will introduce the Media Content Atlas, a computational pipeline that leverages multimodal large language models to analyze and visualize millions of smartphone screenshots. This tool enables content-based clustering, topic modeling, and interactive exploration of digital experiences—offering researchers a scalable way to study how individuals engage with diverse forms of media. Together, these projects advance a new paradigm of personalized digital phenotyping, highlighting how quantitative methods can support tailored insights and interventions for mental health. |
|
| 16:20 | After talks discussion |
Previous Talks
2025
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2025.03.20 | 15:00 | Introduction | |
| 15:05 | Ruiyi Wang (UCSD) |
PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals | |
| 15:40 | Lujain Ibrahim (University of Oxford) |
Multi-turn evaluation of anthropomorphic behaviors in large language models | |
| 16:20 | After talks discussion | ||
| 2025.02.20 | 15:00 | Introduction | |
| 15:05 | Yehu Chen (Washington University in St. Louis) |
Personalized Personality Modeling with Gaussian Processes: Insights from a New Longitudinal Dataset | |
| 15:40 | Dr. Dong Whi Yoo (Kent State University) |
Lived Experience Centered AI in Mental Health | |
| 16:20 | After talks discussion | ||
| 2025.01.16 | 15:00 | Introduction | |
| 15:05 | Vivian Nguyen & Dave Jung (Cornell University) |
Taking a turn for the better: Conversation redirection throughout the course of mental-health therapy | |
| 15:40 | Nivedita Bijlani (University of Surrey) |
Smart Sensing in Dementia Care: Lightweight, Explainable AI Validated for Early Warning of Health Events in the Home | |
| 16:20 | After talks discussion |
2024
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2024.11.21 | 15:00 | Introduction | |
| 15:05 | Dr. Daeun Lee (Sungkyunkwan University, Seoul) |
Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning | |
| 15:40 | Kubra Cengiz (Istanbul Technical University) |
Cortical morphological networks for profiling autism spectrum disorder using tensor component analysis | |
| 16:20 | After talks discussion | ||
| 2024.10.17 | 15:00 | Introduction | |
| 15:05 | Dr. Angus Addlesee (Amazon Alexa) |
Deploying an Accessible LLM-based Conversational Agent in a Hospital | |
| 15:40 | Dr. Baihan Lin (Icahn School of Medicine at Mount Sinai) |
Charting Therapeutic Alliances Turn-by-Turn via Language Modeling | |
| 16:20 | After talks discussion | ||
| 2024.09.19 | 15:00 | Introduction | |
| 15:05 | Harsh Kumar (University of Toronto) |
Using Adaptive Bandit Algorithms and LLM Agents for Improving Engagement with Digital Mental Health Interventions | |
| 15:40 | Prof. Emiel Krahmer (Tilburg University) |
Towards a Digital Self-Management Platform for People with Severe Mental Illness | |
| 16:20 | After talks discussion | ||
| 2024.07.18 | 15:00 | Introduction | |
| 15:05 | Vasudha Varadarajan (Stony Brook University) |
ALBA: Adaptive Language-based Assessments for Mental Health | |
| 15:45 | Dr. Guy Laban (University of Cambridge) |
Social Robots as Communication Partners to Support Emotional Health and Well-Being | |
| 16:20 | After talks discussion | ||
| 2024.06.20 | 15:00 | Introduction | |
| 15:05 | Rémi Vaucher (University of Lyon 2) |
Time Topological Analysis of EEG, a novel approach to unveil pre-critical behavior of epileptic seizure | |
| 15:45 | Yi Zhang (Peking University) |
Facial Prior Guided Micro-Expression Generation | |
| 16:20 | After talks discussion | ||
| 2024.05.16 | 15:00 | Introduction | |
| 15:05 | Dr. Weichen Wang (Meta/Dartmouth College) |
The Power of Speech in the Wild: Discriminative Power of Daily Voice Diaries in Understanding Auditory Verbal Hallucinations Using Deep Learning | |
| 15:45 | Prof. Joseph Hayes (UCL) |
Applied informatics to improve outcomes in severe mental illness | |
| 16:20 | After talks discussion | ||
| 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 |
2023
| 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 (Unlearn.AI) |
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 |
2022
| 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 (Microsoft) |
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 (EPFL) |
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 |
2021
| 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 (UCL) |
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 (Thymia) |
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 (UCL) |
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 (Verily) |
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 |
2020
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2020.11.19 | 15:00 | Introduction | |
| 15:30 | Dr. Feifei Bu (UCL) |
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 (LSE) |
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 (UCL) |
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 |
2018-2019
| 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 (UCL) |
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 (UCL) |
Intro to Data-Driven Disease Progression Modelling | |
| 16:00 | Dr. Alexandra Young (UCL) |
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 |