Haoming Liu is a PhD student in Psychiatry at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London, which he joined in 2024.

His research focuses on improving treatment selection in Attention-Deficit/Hyperactivity Disorder (ADHD) by identifying clinically meaningful subgroups (“biotypes”) that predict differential response to medication. His work integrates large-scale clinical data, neuroimaging datasets, and advanced statistical and machine learning methods to develop prediction models that can support personalised treatment strategies in child and adolescent psychiatry.

His doctoral research draws on routinely collected mental health records from South London and Maudsley NHS Foundation Trust, as well as large international cohort datasets such as the Adolescent Brain Cognitive Development (ABCD) study, to investigate clinical, cognitive, and neural predictors of ADHD treatment outcomes.

Prior to joining King’s College London, Haoming completed an MRes in Brain Sciences at University College London, an MSc in Data Science and Analytics at Cardiff University, and a BSc in Physics at Imperial College London. His interdisciplinary background combines neuroscience, psychiatry, and data science.

He currently contributes to undergraduate teaching at King’s College London as a Graduate Teaching Assistant.

Research Interests

• ADHD treatment response and personalised psychiatry
• Identification of psychiatric biotypes using multimodal data
• Clinical prediction modelling in mental health
• Neuroimaging biomarkers in child and adolescent psychiatry
• Machine learning methods for clinical outcome prediction
• Multimodal integration of clinical, cognitive, and neuroimaging data
• Computational approaches to psychiatric heterogeneity

Research Groups

CAMHS Digital Lab