Position | Lecturer (Assistant Professor) |
Phone (external) | 020 3108 4472 |
Phone (internal) | 54472 |
Email (@ucl.ac.uk) | b.lehmann |
Personal webpage | |
Themes | Biostatistics, General Theory and Methodology, Computational Statistics |
Biographical Details
Before joining °×С½ãÂÛ̳ as a Lecturer at the beginning of 2022, Brieuc was a postdoctoral researchÌýassociate in statistical machine learning at the and the at the University ofÌýOxford, working with and . Brieuc was also a Junior ResearchÌýFellow in Statistics at . Brieuc completed his PhD at the , University of Cambridge under the supervision of , and .
Brieuc's primary research area is health data science, with a focus on statistical methods of health equity. He is particularly interested in developing and applying novel Bayesian statistical methodology for biomedical data. Recent applications include COVID-19 and polygenic scores. Ìý
Selected publications
- (AISTATS.2022)
E.Fong, B. Lehmann - (Nature Microbiology,2021)
G. Nicholson, B. Lehmann, T. Padellini, K.B. Pouwels, R. Jersakova, J. Lomax, R.E. King, A. Mallon, P.J. Diggle, S. Richardson, M. Blamgiardo, C.C. Holmes - (Neurolmage, 2021)
B. Lehmann, R.N. Henson, L. Geerligs, Cam-CAN, S.R. White