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), where she leads the Population Health research theme. Daniela has over 25 years of experience of working at the interface between statistics and infectious disease epidemiology. Marrying epidemiology and cutting-edge statistical/computational techniques, she has established and led multi-disciplinary teams developing novel methodology and tools to enable epidemic monitoring and prediction. An important focus of her research has been on the statistical questions posed by the combination of heterogeneous data, which are generally of different types, relevance, and quality, affected by observational biases, and present “big data” and privacy challenges. Her methodologies have been adopted as methods of choice by national and international Health Agencies to monitor epidemics, informing the implementation and evaluation of public health policies. Daniela is member of several scientific advisory groups including the Statistical Expert Group for the Infected Blood Inquiry; the Scientific Pandemic Influenza Advisory Committee (SPI-M); the Royal Statistical Society Task Force for Covid-19. In 2022, for her work during the SARS-CoV2 pandemic she was awarded the Weldon Memorial Prize as core member of SPI-M; received the University of Cambridge Vice-Chancellor’s Award for Impact and Engagement, in the Established Academic category; and she became Member of the Most Excellent Order of the British Empire (MBE), Honorary Awards to Foreign Nationals in recognition of her services to Medical Research and Public Health.    

Publications

To view Daniela's recently submitted papers in arXiv, click here: Daniela De Angelis - Submitted recent papers in arXiv