Scholar
Matthew Ashman
Google Scholar ID: j1YiUKUAAAAJ
PhD Student, University of Cambridge
Citations & Impact
Citations
250
H-index
6
i10-index
5
Publications
18
Co-authors
21
list available
Publications
Resume (English only)
Research Experience
- Currently a final year PhD student in the Machine Learning Group at the University of Cambridge, having previously completed an M.Phil. in Machine Learning and Machine Intelligence as well as an M.Eng. degree.
Education
- PhD: University of Cambridge, supervised by Adrian Weller and Richard Turner; M.Phil. in Machine Learning and Machine Intelligence, worked with Richard Turner on the development of approximate inference techniques in deep Gaussian process latent variable models; M.Eng., worked with Elena Punskaya on the automatic detection of atrial fibrillation.
Background
- Research interests: motivated by the need for the effective and efficient deployment of probabilistic machine learning techniques to improve decision making and prediction in the presence of uncertainty.
