This research investigates how loneliness affects brain function across adulthood. Using brain imaging, it identifies age-related differences in activity within the caudate, a region involved in social reward processing. The findings suggest loneliness alters how people perceive social interactions, supporting the development of personalized, age-appropriate interventions to reduce chronic loneliness.

This research explores how early-life stress alters the gut microbiome and its communication with the brain, challenging the traditional "leaky gut" theory of anxiety. Using a comprehensive, lifespan-wide approach, it identifies a potential new mechanism that could enable more personalized treatments for patients who do not respond to current anxiety therapies.

This research developed NanoX, a nanoscale fluorescent sensor that images oxytocin release from individual neurons in real time. By revealing patterns of brain chemistry associated with mental health disorders, the technology could enable earlier diagnosis, improve understanding of neurochemical signaling, and support both preventive and personalized mental healthcare.

 

This anthropological research investigates traditional medicinal uses of psilocybin mushrooms in Lesotho. Interviews with local healers revealed treatment practices that differ substantially from Western clinical models, including low-dose administration over extended periods and applications for epilepsy and psychosis. The findings may broaden future directions for psychedelic medicine research.

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 study explores how mindfulness can support student-athlete well-being in high-pressure sporting environments. Through interviews, course analysis, and coaching reflections, the research found that mindfulness strengthens personal agency, emotional regulation, and holistic self-identity. The findings informed the development of a mindfulness-based curriculum for athletes and coaches.

This research investigates whether zinc plays a critical role in the ability of psychedelic drugs to reopen social reward critical periods in the brain. Using mouse models, the study examines how zinc influences social behavior following psychedelic treatment, potentially revealing mechanisms of brain plasticity relevant to autism, social anxiety, and social connection.

 

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.

This PhD defense presents research at the intersection of machine learning, reinforcement learning, social learning, affective computing, and human-AI interaction. The thesis is that social learning is a powerful mechanism for intelligence and explores how AI agents can learn from one another and from humans. Projects include intrinsic social influence rewards for multi-agent coordination, communication protocols emerging through influence, conversational agents trained from implicit human feedback such as sentiment, generative models improved through facial-expression feedback, and personalized well-being prediction from behavioral and physiological data. The thesis concludes that socially informed learning can improve coordination, adaptability, and human alignment.