Hoki Fung
Computational researcher · AI/ML · Neuroscience & health
PhD candidate in computational neuroscience at UCLA (exp. 2026) with over a decade of experience across psychology, neuroimaging, data science, and ML/AI — applied to brain health and neuropsychiatric conditions. My work spans research and implementation, from neuroimaging pipelines to applied AI tools, with a focus on translating findings into practice. I’ve worked across academia, clinical settings, and startups in the US, UK, and Singapore. Open to collaborations and opportunities at the intersection of AI and health — drawn to hard problems with real-world stakes.
Selected Projects
All projects →Cerebellar phenotypes in 22q11.2 CNVs
2023–presentMultimodal neuroimaging study characterizing cerebellar structural and functional phenotypes in individuals with 22q11.2 copy number variants, a leading genetic risk factor for schizophrenia.
Neuroimaging biomarkers of treatment response in anhedonia
2021–2025Neuroimaging biomarker study identifying individualized fMRI signatures of treatment response in transdiagnostic anhedonia (FAST-MAS clinical trial, N=64); published in Neuropsychopharmacology (2025).
LitCurio
2026–presentAI-powered daily research digest. Users customize topic alerts and receive AI-summarised briefings by email, daily or weekly.
Research Lab Workflow Automation
2025No-code pipeline that captures papers shared in Slack in real time and routes them to a structured Notion database with auto-tagging and summaries.
Recent Roles
Full experience →Recent Publications
All publications →Convergent and Divergent Cerebellar Alterations in 22q11.2 Copy Number Variants
Biological Psychiatry: Global Open Science
Gene dosage effects of 22q11.2 copy number variants on in-vivo measures of white matter axonal density and dispersion
Molecular Psychiatry
Selective KOR antagonist alters functional patch sizes in individualized brain systems: Results from the Fast-fail Trial in Mood and Anxiety Spectrum Disorders (FAST-MAS)
Neuropsychopharmacology