Professor Christopher Jewell
Professor in StatisticsPhD Supervision Interests
Inference for infectious disease models; food borne disease source attribution; high performance computing for biostatistical applications; GPU programming.
01/08/2024 → 31/07/2029
Research
01/08/2024 → 31/07/2029
Research
01/08/2024 → 31/07/2029
Research
01/08/2024 → 31/07/2029
Research
28/03/2023 → 31/03/2025
Research
01/08/2021 → 31/01/2023
Research
01/04/2021 → 31/03/2026
Research
19/11/2020 → 31/03/2023
Research
01/11/2020 → 30/09/2023
Research
01/09/2020 → 28/02/2022
Research
06/07/2020 → 05/11/2021
Research
02/03/2020 → ¡
Research
01/12/2019 → 31/01/2026
Research
01/11/2019 → 01/05/2021
Research
01/11/2019 → 01/05/2021
Research
01/08/2019 → 31/07/2022
Research
01/05/2018 → 31/10/2021
Research
01/04/2018 → 31/07/2024
Research
01/04/2018 → ¡
Research
01/03/2018 → 28/02/2021
Research
01/09/2017 → 31/05/2019
Research
01/04/2017 → 31/03/2022
Research
01/11/2016 → 01/03/2017
Research
01/07/2015 → 19/01/2021
Research
Member of an organisation
Other
Invited talk
Membership of board
Invited talk
Invited talk
Membership of board
Consultancy
Participation in workshop, seminar, course
Membership of board
Other
Membership of committee
Member of an organisation
Participation in conference -Mixed Audience
Participation in workshop, seminar, course
Invited talk
Visiting an external academic institution
Participation in conference -Mixed Audience
Participation in workshop, seminar, course
Participation in workshop, seminar, course
Participation in conference -Mixed Audience
Editorial activity
Member of an organisation
Other distinction
Other distinction
Prize (including medals and awards)
Biostatistics , CHICAS, DSI - Health
Bayesian and Computational Statistics, Biostatistics , Centre of Excellence in Environmental Data Science, STOR-i Centre for Doctoral Training
Bayesian and Computational Statistics, Biostatistics , STOR-i Centre for Doctoral Training
- Bayesian and Computational Statistics
- Biostatistics
- CHICAS
- DSI - Health
- MARS: Mathematics for AI in Real-world Systems
- STOR-i Centre for Doctoral Training