معرفی
Christopher Jewell is Professor in Statistics at Lancaster University's School of Mathematical Sciences, with affiliations across the Data Science Institute, CHICAS (Centre for Health Informatics, Computing, and Statistics), and STOR-i Centre for Doctoral Training. He serves as N8 CIR Digital Health Theme Lead and holds memberships in the Royal Statistical Society and Royal Society.
His research pioneers computational methods for infectious disease modeling, specializing in inference for stochastic epidemic systems, foodborne disease source attribution, and GPU-accelerated biostatistics. He develops high-performance algorithms enabling real-time outbreak analysis and intervention evaluation, with applications spanning veterinary epidemiology, public health surveillance, and low-resource settings.
Recent work demonstrates his dual focus on methodological innovation and practical implementation, exemplified by 2025 studies on foot-and-mouth disease control in Turkey and scalable epidemic model calibration. These reflect his commitment to computationally efficient solutions for complex disease dynamics.
His scientific recognition includes:
- SPI-M-O Award for Modelling and Data Services
- Weldon Memorial Prize
- Lancaster University Staff Award
Professor Jewell supervises PhD researchers Charlotte Appleton, Jordan Hood, and James Neill. His £5M MARS project (2024-2029) drives AI applications for real-world systems, while active DSI grants address COVID-19 wastewater epidemiology, disease transmission in Africa, and adaptive clinical trial designs. He contributes to national pandemic response through SPI-M and the Office for National Statistics.
As co-leader of CHICAS and STOR-i contributor, he fosters interdisciplinary collaborations integrating statistics, computer science, and epidemiology to transform disease surveillance and control strategies globally.
