This thesis examines who turns to AI for mental health support, rather than whether AI can be a therapist. Drawing on TherapyGPT forum analysis and ongoing experiments, the research identifies fear of judgment, trust in AI and past therapist failures as possible drivers of AI therapy use.

This research develops automated tools to identify psychedelic-inspired compounds that restore lost neural connections associated with depression, anxiety, and addiction. Using advanced imaging and custom analysis software, the project screens potential therapeutics that promote neuronal growth, aiming to create treatments that repair brain circuitry rather than simply managing symptoms.

This thesis examined how adverse childhood experiences (ACEs) affect mental health and brain development. Using data from the ABCD Study, the researcher found that ACEs were linked to both mental health symptoms and a thicker prefrontal cortex. The findings suggest the brain may adapt to adversity, highlighting new questions about resilience.

Infertility affects one in six adults and carries profound emotional, psychological, and social burdens often overlooked in medical care. This research evaluates a four-week yoga intervention for individuals undergoing IVF, aiming to reduce anxiety and depression while improving quality of life, addressing the unmet psychosocial needs of those experiencing infertility.

This research examines how keeping secrets in romantic relationships harms well-being. It introduces “fear of discovery,” the anxiety that secrets will be revealed unintentionally. Findings show this fear increases obsessive thinking and reduces relationship and life satisfaction, offering new insight into why secrecy negatively affects mental health.

This research explores how early-life stress alters reward motivation differently in males and females. By identifying sex-specific brain circuits and wiring patterns shaped by early stress, it reveals why individuals respond differently to reward and highlights the need for personalized approaches to mental health treatment.

Drawing on personal experience with depression and anxiety, this researcher studies synaptic adhesion molecules—key proteins that shape how neural connections form and adapt. By understanding how these molecules change across development, the work aims to uncover molecular mechanisms behind neuropsychiatric disorders and inform future treatments or prevention strategies.

Mental health disorders disrupt neural connections in the brain, yet most treatments only manage symptoms. This research explores psychedelic-inspired drugs that restore lost brain connections without hallucinogenic effects, using automated imaging tools to identify compounds that rebuild neural structure and offer lasting recovery.

This research explores how chronic stress reshapes the brain through genetic mechanisms. By studying the stress-regulating gene MeCP2 in mice, the work shows how early-life stress can lock the brain into a heightened anxiety state, revealing biological pathways that may inform future treatments for stress-related mental health disorders.

This research examined whether mental imagery training enhances neural efficiency and performance in basketball free throws. A single imagery session didn’t change EEG activity or performance overall, but higher confidence improved outcomes. Findings suggest imagery may boost performance indirectly through psychological factors, requiring longer or combined training for measurable neural effects.