LIV.INNO will offer three cohorts of PhD students comprehensive training in Data Intensive Science through cutting edge interdisciplinary research projects and a targeted academic training programme, complemented by secondments to national and international research partners and strong industry contributions.
Students of 2024
- Rosie Bartlett
- Archie Hanlon
- Ben Hind
- John Kerfoot
- Salma Louhaichy
- Saransh Malhotra
- Matthew Ockleton
- Stephen Randles
- Shirsendu Roy
- Jak Woodford
- Mingyu Zhang
Students of 2023
- Sakircan Beyazit
- Ana Isabel Costa Pereira
- Emily Costello
- Mehul Depala
- Luke Detraux
- Sinead Eley
- Sam Godwood
- Joseph Hadley
- Marina Maneyro
- Khang Nguyen
- Qiyuan Xu
Students of 2022
- Jonah Conley
- Lauryn Eley
- Katherine Ferraby
- Rupeshkumar Ghagi
- Andrew Jones
- Alexander Jury
- Robert McNulty
- Ryan Roberts
- Andrea Sante
- Thomas Wonderley
Back to: Centre for Doctoral Training for Innovation in Data Intensive Science