My teaching and supervision are organised around a simple aim: helping trainees become thoughtful, independent researchers who can reason clearly with complex and heterogeneous evidence. I teach quantitative methods, supervise research across mental health and population health, and contribute to open and reproducible research training.

Current trainees

PhD students

I currently contribute as secondary supervisor to PhD work spanning neurodevelopment, educational experiences, and inequalities in psychiatric disorders.

PhD studentRoleResearch
Alua YeskendirSecondary SupervisorCauses of health and social inequalities in psychiatric disorders
Vanessa CieplinskaSecondary SupervisorSchool attendance problems and educational attainment in children with neurodevelopmental conditions

Thesis committees

I also contribute to doctoral research through thesis-committee roles where my methodological or substantive expertise is relevant.

PhD studentResearch
Miriam NyawiraSuicidality in early psychosis and associated risk factors in a multicultural UK area
Pip CleryUnderstanding the impact of extreme heat on people with severe mental illness
Sonya RudraHealth service use and health characteristics of parents with a learning disability and their children in England: a mixed-methods study of outcomes and experiences

MSc supervision

StudentRoleProject
Kaavya ChakraborthyPrimary SupervisorProblem gaming harms among neurodivergent children and young people

Teaching & training

At UCL, I teach epidemiology, statistics, and research methods across postgraduate mental-health programmes. Current and recent teaching includes:

Core Principles of Mental Health Research
Research design, critical appraisal, and the foundations of mental-health research.
Practical Statistics for Mental Health Research
Applied quantitative reasoning and statistical analysis for mental-health research.
Epidemiological Research Methods in Mental Health
Epidemiological designs, measures, inference, and interpretation in psychiatric research.

I have also contributed to curriculum development around open science and public involvement and engagement with research. As a certified instructor with The Carpentries, I teach practical data and computational skills for open and reproducible research. Selected reusable teaching materials are available through Open Research & Resources.

Supervision in practice

25 primary-supervised postgraduate or undergraduate projects
2 current PhD students
3 current thesis-committee roles
3 student projects linked to published outputs

The supervision portfolio spans mental health, addiction, neurodivergence, climate and health, health inequalities, public health, and health policy. Several projects have developed into peer-reviewed outputs.

Student work linked to publications

Selected recent supervision

StudentDegreeRoleProject
Cameron TefftMScPrimary SupervisorPsychotherapeutic and pharmacological treatment for co-occurring cannabis use disorder and psychotic disorders
Thea NelsonMScPrimary SupervisorVariations in special educational needs and disabilities (SEND) support and educational outcomes by local and unitary authority
Alara EgeliMScPrimary SupervisorTreatment options for co-occurring substance use disorder and severe mental illness
Eleanor EdgarMScSecondary SupervisorPsychopharmacological interventions for rapid cycling bipolar disorder
Jasmine MaltyMScSecondary SupervisorHow does depression impact physical intimacy in romantic relationships?
Jieyu ZanMScSecondary SupervisorWhat are the sex differences in the response to antidepressants for depression?
Tamara MoonMScSecondary SupervisorExamining rates and predictors of readmission to acute mental health services following Crisis Team intervention among individuals with a ‘personality disorder’ diagnosis
Bhavya GuptaMScPrimary SupervisorThe effectiveness of psychological therapy for comorbid post-traumatic stress disorder and substance use disorders

Prospective trainees

I am interested in supervising PhD, MSc, and undergraduate projects that fit the wider MINDSET agenda, particularly work connecting mental-health questions with longitudinal, administrative, clinical, environmental, behavioural, or biological data; causal and multimodal inference; neurodivergence; addiction; and inequalities. Prospective trainees are welcome to get in touch with a brief outline of their interests and the type of project or supervision they are seeking.

Prospective PhD applicants should also consider likely funding routes and eligibility before making contact. We can discuss realistic options together, but an initial view of possible schemes, deadlines, and fit is helpful.