Digital health expanded during COVID-19, but many services exclude people seeking support for alcohol and drug use. This research uses inclusive design, interviews, and workshops with people with lived experience to identify barriers, reduce stigma, improve usability, and guide industry toward creating accessible, equitable digital care for all.

PFAS “forever chemicals” contaminate water, food, and air and accumulate in the body, causing serious health risks. This research develops a light-activated porous material that traps and breaks down PFAS molecules. Tested in real-world water and now being scaled up, the method aims to provide a practical, permanent solution for removing PFAS and protecting safe drinking water.

PCBs, toxic “forever chemicals” found in older school buildings, accumulate in body fat and trigger harmful inflammation. This research shows that PCB-exposed fat cells recruit excessive immune cells, creating an uncontrolled inflammatory response that contributes to obesity and diabetes. Understanding this mechanism opens pathways for treatments targeting fat–immune cell communication.

Older adults with severe joint pain often consider cannabis, yet receive little guidance from physicians who lack reliable evidence. This silence pushes patients toward unregulated products and poor medical decisions. The research develops a user-friendly cannabis decision-support tool to empower patients, support clinicians, and enable informed, safe conversations about cannabis use.

Sunny-day flooding is becoming common in coastal North Carolina. Sensors revealed 65 flood days per year, and water-quality tests showed fecal contamination up to 100× above closure standards. A new computer model tracks how contaminated floodwaters move, helping identify hotspots and supporting safer water-quality advisories and flood-defense planning.

This research examines how microbes in drinking water recover after UV disinfection. By adding nutrients to UV-treated samples and identifying microbes through DNA sequencing, the study tracks which organisms survive, regrow, and thrive over time. The goal is to improve treatment systems and ensure safer, more stable drinking water during distribution.

This research uses agent-based modelling (ABM) to simulate infectious disease spread in regions like Nigeria, enabling policymakers to predict outbreaks, test interventions, and allocate limited resources proactively. The low-cost modelling approach supports governments with constrained budgets and offers a sustainable, data-driven tool for preventing large-scale infections and improving global public health.

This research isolates and characterizes new flavonoids from Colona leonei with promising anti-cancer properties. These compounds selectively target cancer cells while sparing healthy ones. Upcoming tests will assess their effectiveness on cancer cell lines. The work also highlights preventive benefits of flavonoid-rich foods and frames cancer as a global, personal, and societal challenge.

This study tracked viral load in saliva, throat, and nose samples collected daily from newly infected individuals. The findings show each sample type follows a distinct viral-load trajectory, with saliva and throat detecting infection earlier than nose. This has major implications for COVID test accuracy, sampling strategies, and future pandemic preparedness.

Bowel cancer kills thousands each year, and current stool-based screening misses many cases. This PhD develops a new non-invasive method that analyzes human cells shed into stool, aiming to detect normal, pre-cancerous, and cancerous changes more accurately. The goal is a more reliable, higher-participation screening tool that could replace the existing national test.