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个人简介
With a background in traditional databases and data management, my research has touched on Data and Information Quality, web semantics, workflow-based infrastructure for e-science, and data provenance, where he has published over 150 peer reviewed research articles. I have been involved in the specification of the W3C PROV data model for provenance (2011-2013) where I have been co-editor of the main recommendation documents.
My work has been funded over the years by EPSRC, NIHR-BRC, Newton Fund UK, Microsoft Azire for Research, and the Turing Institute. Funded projects include Cloud-e-Genome on scalable processing of genomics pipeline on the cloud (NIHR-BRC), ReComp on optimising analytics pipelines in response to changes in data (EPSRC), P4@NU (towards Personalised, Participatory, Preventive, Precision Medicine), and more.
My more recent research portfolio addresses the challenges and opportunities of Applied Data Science and Machine Learning for Health, with contributions on the search for "digital markers" from self-monitoring devices, and recent work on predicting respiratory crises in acute covid patients.
My interests are also expanding to the management and exploitation of data provenance in data science pipelines, and to he study of algorithmic fairness.
My work has been funded over the years by EPSRC, NIHR-BRC, Newton Fund UK, Microsoft Azire for Research, and the Turing Institute. Funded projects include Cloud-e-Genome on scalable processing of genomics pipeline on the cloud (NIHR-BRC), ReComp on optimising analytics pipelines in response to changes in data (EPSRC), P4@NU (towards Personalised, Participatory, Preventive, Precision Medicine), and more.
My more recent research portfolio addresses the challenges and opportunities of Applied Data Science and Machine Learning for Health, with contributions on the search for "digital markers" from self-monitoring devices, and recent work on predicting respiratory crises in acute covid patients.
My interests are also expanding to the management and exploitation of data provenance in data science pipelines, and to he study of algorithmic fairness.
研究兴趣
论文共 261 篇作者统计合作学者相似作者
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Matthew Mcteer, Douglas Applegate,Peter Mesenbrink,Vlad Ratziu,Joern M. Schattenberg,Elisabetta Bugianesi,Andreas Geier,Manuel Romero Gomez,Jean-Francois Dufour,Mattias Ekstedt,Sven Francque,Hannele Yki-Jarvinen,Michael Allison,Luca Valenti,Luca Miele,Michael Pavlides,Jeremy Cobbold,Georgios Papatheodoridis,Adriaan G. Holleboom,Dina Tiniakos,Clifford Brass,Quentin M. Anstee,Paolo Missier
ACM transactions on database systemsno. 2 (2024): 1-42
MATHEMATICSno. 5 (2024): 777
Florian Schintke,Khalid Belhajjame,Ninon De Mecquenem,David Frantz, Vanessa Emanuela Guarino,Marcus Hilbrich,Fabian Lehmann,Paolo Missier,Rebecca Sattler,Jan Arne Sparka,Daniel T. Speckhard, Hermann Stolte,Anh Duc Vu,Ulf Leser
Future generation computer systems (2024): 82-97
medRxiv (Cold Spring Harbor Laboratory) (2023)
Lecture notes in computer sciencepp.202-213, (2023)
European Geriatric Medicineno. 4 (2023): 765-768
Hugo Calero-Díaz, Rebeen Ali Hamad,Christian Atallah,John Casement,Dexter Canoy,Nick J. Reynolds,Michael Barnes,Paolo Missier
BigDatapp.3679-3687, (2023)
JAIDS-JOURNAL OF ACQUIRED IMMUNE DEFICIENCY SYNDROMESno. 5 (2023): 474-481
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作者统计
#Papers: 261
#Citation: 7104
H-Index: 38
G-Index: 74
Sociability: 6
Diversity: 2
Activity: 16
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