Projects per year
Organisation profile
Organisation profile
The Centre of Data Innovation Research (CoDIR) is a new research centre that combines data science and machine learning expertise from astrophysics and computer science, particularly biocomputation. Within the Centre for Astrophysics Research (CAR) we perform world-leading research spanning the discovery of exoplanets, the nature of star formation within our Milky Way and the formation and evolution of galaxies. Computational neuroscience and machine learning, a focus of the Biocomputation Research Group in the Centre for Computer Science and Informatics Research (CCSIR), are thriving areas of interdisciplinary research at the interface between computer science, mathematics and biology. The approach taken by the Biocomputation group is unique as it combines, in addition to computational modelling and mathematical analyses, cutting-edge work in neuromorphic computing, neural data analysis and machine learning.
We have come to recognise that many difficult problems in both fields can be tackled by the same techniques of data analysis and machine learning. Moreover, it is clear that techniques developed for the benefit of what seems to be a highly specific problem in one field can be productively deployed to solve seemingly unrelated problems in another. The objective of CoDIR is to pioneer innovative data science techniques – in particular exploiting expertise in statistics, image analysis, machine learning and computational neuroscience – to develop a strategy to translate these techniques beyond fundamental research, such as medicine, defence and agritech. By embedding this translational approach in our research programme, which has the potential to deliver genuine impact, we seek to become an exemplar research centre that will serve as a blueprint for others aiming to deliver economic and societal impact from blue skies research.
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Collaborations and top research areas from the last five years
Profiles
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UK involvement in LSST: Phase C (Hertfordshire component)
Kaviraj, S. (PI)
1/04/23 → …
Project: Research
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The JWST Emission-Line Survey: extending rest-optical narrow-band emission-line selection into the Epoch of Reionization
Duncan, K. J., McLeod, D. J., Best, P. N., Pirie, C. A., Clausen, M., Cochrane, R. K., Dunlop, J. S., Flury, S. R., Geach, J. E., Grogin, N. A., Hale, C. L., Ibar, E., Kondapally, R., Li, Z., Matthee, J., McLure, R. J., Ossa-Fuentes, L., Patrick, A. L., Smail, I. & Sobral, D. & 3 others, , 2 Jul 2025, (E-pub ahead of print) In: Monthly Notices of the Royal Astronomical Society. 541, 2, p. 1329-1347 19 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
The JWST Emission Line Survey (JELS): an untargeted search for H α emission line galaxies at z > 6 and their physical properties
Pirie, C. A., Best, P. N., Duncan, K. J., McLeod, D. J., Cochrane, R. K., Clausen, M., Dunlop, J. S., Flury, S. R., Geach, J. E., Hale, C. L., Ibar, E., Kondapally, R., Li, Z., Matthee, J., McLure, R. J., Ossa-Fuentes, L., Patrick, A. L., Smail, I., Sobral, D. & Stephenson, H. M. O. & 2 others, , 23 Jun 2025, (E-pub ahead of print) In: Monthly Notices of the Royal Astronomical Society. 541, 2, p. 1348-1376 29 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Mesoscale differences in brain organization in schizophrenia revealed by topological data analysis
Dmitruk, E., Metzner, C., Steuber, V. & Kadir, S., 21 Jun 2025, BioRxiv.Research output: Working paper
Open Access