James MacKillop

This study uses deep learning on structural MRI data to predict BMI more accurately than other machine learning methods in adults.

This study conducts GWAS on impulsive personality traits and drug experimentation in 22,861 adults, identifying genetic associations and correlations with psychiatric disorders.

GWAS in over one million individuals identify 611 loci across risk tolerance and risky behaviors, revealing shared genetic architecture and implicating glutamatergic and GABAergic neurotransmission.

The paper uses PCA to identify three latent components of risk-taking behavior from self-reports and behavioral tasks in young adults.

This study identifies 4 new risk loci for cannabis use through GWAS, finds genetic overlap with mental health, and shows a causal link between schizophrenia and cannabis use.

This study identifies a genetic variant associated with delay discounting in European ancestry adults and links it to multiple traits and disorders.