This research uses wearable data and AI to detect disease earlier by analyzing continuous health signals rather than isolated clinical snapshots. By personalizing models to individual baselines, the system identifies subtle changes linked to conditions like infections, heart issues, and mental health crises, enabling earlier intervention and potentially saving lives.

This research highlights high stress levels in creative industries and examines gaps in post-secondary curricula. By analysing course content through project management theory, it identifies missing focus on risk, conflict, and change management. Integrating these skills could foster healthier, more sustainable work environments for future creative professionals across sectors.

This research investigates risk and protective factors in father–daughter intrafamilial child sexual abuse. Findings show abuse arises from combined individual and family-level factors, especially conflict and violence, while early caregiving and warmth are protective. The work aims to inform earlier intervention, improve prevention strategies, and enhance child safety within families.

This research examines the overlap between IBS and eating disorder–like behaviours, where conflicting dietary advice creates clinical uncertainty. By interviewing patients and providers, it identifies two distinct groups based on motivation for food restriction. The goal is to develop tools that improve nutrition counselling and support better, safer patient care.

This project explores whether art can reduce stigma around mental health and neurodiversity. Through community-based exhibitions, participatory coloring events, and fundraising for autism support organizations, the artist reframes help-seeking as acceptable and shared. The work positions art as a tool for visibility, dialogue, and collective healing.

This research develops an affordable, rapid genetic testing system to personalize antidepressant treatment. By detecting DNA mutations that affect drug metabolism, the technology helps doctors prescribe the right medication for each patient. The goal is to reduce ineffective treatments and improve mental health care—especially for veterans struggling with PTSD and depression.

This research develops an electrochemical sensor to continuously monitor stress by detecting cortisol, a key stress hormone. Using DNA aptamers and nanostructured electrodes, the sensor overcomes traditional detection limits, improving signal strength and durability. The technology offers a noninvasive method for long-term stress tracking to support prevention and treatment.

This research examines whether anhedonia—a core symptom of depression marked by reduced pleasure and motivation—is linked to impairments in working and episodic memory. While memory performance did not differ across anhedonia levels, the findings highlight the need for further study to develop targeted, memory-based interventions.

This research investigates why women are more vulnerable to stress-related disorders. Using a mouse model of acute trauma, the study shows that estrogen levels in the hippocampus drive memory disruption after stress. Blocking local estrogen production protects memory, revealing sex-specific mechanisms relevant for targeted treatments.

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.