Email Address: firstname.lastname@example.org
Other Research Theme Collaborations: SOMX PREM
Daniela De Angelis is Professor of Statistical Science for Health at the University of Cambridge in the Department of Primary Care and Public Health, Deputy Director and Programme Leader at the Medical Research Council Biostatistics Unit (MRC-BSU).
At the BSU, Daniela has overall responsibility for the research theme “Statistical methods Using data Resources to improve Population Health” and leads the research programme on ‘Evidence synthesis to inform population health-related decision making’.
Daniela has over 25years of experience of working at the interface between statistics and infectious disease epidemiology, focusing on the development of statistical methods for the characterisation of epidemics, including natural history, burden and prediction of future evolution, informing the implementation and evaluation of public health policies.
Daniela is member of a number of local/national/international scientific advisory groups such as NICE, WHO, and UNAIDS and collaborates widely with health agencies nationally and internationally. She is also currently a member of SPI-M (Scientific Pandemic Influenza Advisory Committee, subgroup on Modelling), which reports into SAGE; member of the Modelling and Analytics Board for the NHSx Covid 19 App; and member of the Royal Statistical Society Task Force for Covid-19.
To view Daniela's recently submitted papers in arXiv, click here: Daniela De Angelis - Submitted recent papers in arXiv