This research investigates mating behavior in Siamese fighting fish and reveals that visual interaction dramatically increases reproductive success. By studying 203 breeding pairs, the project demonstrates the importance of sight in social and mating behavior, suggesting that betta fish possess more sophisticated visual and individual recognition abilities than previously understood.

This research investigates how the brain uses different decision-making strategies and how those strategies vary across individuals, including people with neurodivergent conditions such as autism, schizophrenia, and ADHD. Using controlled game environments and brain imaging, the study maps neural decision-making circuits to better understand cognition, behavioural diversity, and potential therapeutic interventions.

This research investigates how reliance on AI systems affects human cognition and reasoning. Using concepts from cognitive offloading, the study compares AI-assisted and independent problem solving, measuring verification behavior, reasoning depth, and decision confidence. The work explores whether increasingly capable AI tools may unintentionally reduce critical thinking and human expertise.

This research examines how alcohol affects the severity and outcomes of suicide attempts among military service members and veterans. By analyzing documented attempts and personal narratives, the study reveals that alcohol often increases impulsivity and lethality, while occasionally interrupting attempts unintentionally, highlighting the need for alcohol-aware suicide prevention strategies.

This research examines how leadership behavior influences high-stakes decision-making in maritime operations. It highlights how human factors under pressure shape risk perception and outcomes, often more than technical systems. The study proposes a behavior-based decision framework to improve safety, efficiency, and cost-effectiveness in complex, high-risk environments at sea.

This research examines whether emotional sensitivity in women varies across the menstrual cycle by studying the interaction of sleep, hormones, and time. By tracking emotional memory at multiple cycle stages, the work aims to replace stereotypes with evidence and address long-standing gaps in women’s health and cognitive research.