裸聊直播

Areas of expertise

• Biomedical Engineering
• Biosensors & Diagnostics
• Computing, Simulation & Modelling
• Environment and Health
• Instrumentation, Sensors and Measurement Science
• Monitoring and Environmental Informatics
• Sensor Technologies
• Water Science and Engineering

Background

David is a PhD researcher at 裸聊直播 specialising in AI/ML-integrated biosensing, microfluidic paper-based (渭PAD) sensor engineering and reverse inference modelling for wastewater-based epidemiology (WBE). His research focuses on low-cost, rapid and field-deployable sensing systems for detecting biological and chemical biomarkers in wastewater to support public health monitoring, early epidemic warning, drug use and environmental surveillance.

His PhD focuses on viral targets and integrates isothermal amplification-based molecular detection, 渭PAD fabrication, imaging, automated readout, AI/ML-assisted interpretation and WBE reverse inference modelling. The wider research programme includes sample preparation for complex wastewater matrices, paper-based devices, CRISPR/Cas detection, advanced sensor technologies and multiplex pathogen surveillance for infectious diseases, antimicrobial resistance and emerging public-health threats. The programme is also relevant to monitoring targets such as influenza viruses, bacterial pathogens, caffeine, antibiotics and other wastewater biomarkers.

David鈥檚 work aligns with the Water-Environment-Health nexus and broader developments in point-of-care diagnostics, portable biosensors, nano-electrochemical sensing platforms and AI-enabled environmental health surveillance. He holds an MSc in Biotechnology, Bioprocessing and Business Management and a BSc (Hons) in Biomedical Science from the University of Warwick.

Research Interests:

- AI/ML-integrated biosensing for WBE

- 渭PADs for environmental surveillance

- RT-LAMP and isothermal molecular diagnostics for viral RNA detection

- Norovirus GI/GII wastewater surveillance and near-source public-health monitoring

- Fluorescence imaging, automated readout and sensor data interpretation

- Reverse-inference modelling for wastewater source tracking and outbreak localisation

- Sample preparation and inhibition management in complex wastewater matrices

- Low-cost, rapid and field-deployable biosensors for biological and chemical biomarkers

- CRISPR/Cas-enabled sensing and multiplex pathogen detection

- Water-Environment-Health sensing systems for infectious disease, antimicrobial resistance and drug-use surveillance

Current activities

PhD Student - Biosensors for Wastewater-based Epidemiology

Biotechnology, Engineering and Public Health - Water Science Institute (FEAS)

Clients

• UK Research and Innovation
• Home Office
• Environment Agency
• Anglian Water
• Scottish Water