Ingemar Cox

Prof Ingemar Cox is the Chair of Telecommunications at the Department of Computer Science, University College London (UCL). He specializes in leveraging digital technologies for public health surveillance, artificial intelligence, and information systems. His research focuses on using web search data, social media, and machine learning to predict health outcomes, detect disease outbreaks, and understand societal behaviors during pandemics. He is actively involved in advisory roles, expert witness work, and supervising research degrees.

Research Interests:

• Applications of AI and machine learning in epidemiology and healthcare surveillance
• Analysis of online search patterns for early disease detection
• Development of hybrid computing architectures for neural networks
• Legal text analysis through NLP techniques

Recent work includes the Virus Watch cohort study, which tracks community incidence and transmission of diseases like COVID-19. His publications span influenza forecasting, gynecological cancer prediction, and ethical AI in generative models.

Grants & Advising: Prof Cox leads research projects on pandemic surveillance and advises on digital health strategies. He supervises students in AI, epidemiology, and information systems but no specific student names are listed.

Labs/Teams: Central involvement in UCL’s Virus Watch initiative and collaborations with public health agencies.