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个人简介
For many years, I have been interested in the development of novel statistical methods for solving a broad spectrum of biomedical problems from microscopy to genomics to mental health. Real problems inspired and underpin the methodological research I do and getting to grips with real scientific investigations and experiments grounds the research in reality.
My approach is normally Bayesian using formal probabilistic methods. This gives methods a coherent development framework allowing for greater rigour in model evaluation.
I believe in a multi-disciplinary approach which involves working with and training not only statistical and machine learning scientists but also those from a biomedical, social science or clinical background.
My approach is normally Bayesian using formal probabilistic methods. This gives methods a coherent development framework allowing for greater rigour in model evaluation.
I believe in a multi-disciplinary approach which involves working with and training not only statistical and machine learning scientists but also those from a biomedical, social science or clinical background.
研究兴趣
论文共 133 篇作者统计合作学者相似作者
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Machine Learning in Computational Biology Meeting (2024): 60-75
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Lena Rai, Antonella Ravaggi, Eliana Bignotti, Robb Hollis, Joel Nulsen,Leticia Campo,Alistair Easton,Mara Artibani, Mike Churchman, Federico Ferrari,Christopher Yau,Charlie Gourley,
Cancer Researchno. 6_Supplement (2024): 2491-2491
Alexander P. L. Martindale,Benjamin Ng, Victoria Ngai,Aditya U. Kale,Lavinia Ferrante di Ruffano,Robert M. Golub,Gary S. Collins,David Moher,Melissa D. McCradden,Lauren Oakden-Rayner,Samantha Cruz Rivera,Melanie Calvert,
Nature Communicationsno. 1 (2024): 1-11
BMC Bioinformaticsno. 1 (2024): 1-16
Joel Nulsen, Nosheen Hussain, Aws Al-Deka,Jason Yap, Khalil Uddin,Christopher Yau,Ahmed Ashour Ahmed
BMC Bioinformaticsno. 1 (2024): 20-20
Natureno. 7955 (2023): 123-131
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY (2023): 219-220
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