Professor Daniela De Angelis
(she/her)About Professor Daniela De Angelis
I am a Professor of Statistical Science for Health at the University of Cambridge in the Department of Primary Care and Public Health, and Group Leader at the MRC Biostatistics Unit, where I lead the Population Health research theme.
I have over 25 years of experience of working at the interface between statistics and infectious disease epidemiology. Marrying epidemiology and cutting-edge statistical/computational techniques, I have established and led multi-disciplinary teams developing novel methodology and tools to enable epidemic monitoring and prediction. An important focus of my 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. My 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.
I am a 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 my work during the SARS-CoV2 pandemic, I 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 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
Showing 41 to 50 of 200 publications
Lineage replacement and evolution captured by three years of the United Kingdom Covid Infection Survey
Authors: K Lythgoe, T Golubchik, M Hall, T House, R Cahuantzi, G MacIntyre-Cockett, H Fryer, L Thomson, A Nurtay, M Ghafani, D Buck, A Green, A Trebes, P Piazza, LJ Lonie, R Studley, E Rourke, D Smith, M Bashton, A Nelson, M Crown, C McCann, GR Young, RAN dos Santos, Z Richards, A Tariq, WSICS Team, CIS Group, TCGU Consortium, C Fraser, I Diamond, J Barrett, AS Walker, D Bonsall
DOI: 10.1101/2022.01.05.21268323
The hyper-transmissible SARS-CoV-2 Omicron variant exhibits significant antigenic change, vaccine escape and a switch in cell entry mechanism
Authors: BJ Willett, J Grove, OA MacLean, C Wilkie, N Logan, G De Lorenzo, W Furnon, S Scott, M Manali, A Szemiel, S Ashraf, E Vink, WT Harvey, C Davis, R Orton, J Hughes, P Holland, V Silva, D Pascall, K Puxty, A da Silva Filipe, G Yebra, S Shaaban, MTG Holden, RM Pinto, R Gunson, K Templeton, PR Murcia, AH Patel, TCGU Consortium, J Haughney, DL Robertson, M Palmarini, S Ray, EC Thomson
DOI: 10.1101/2022.01.03.21268111
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion
Authors: S Ghosh, PJ Birrell, D De Angelis
Journal: INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151
Recurrent SARS-CoV-2 Mutations in Immunodeficient Patients
Authors: SA Wilkinson, A Richter, A Casey, H Osman, JD Mirza, J Stockton, J Quick, L Ratcliffe, N Sparks, N Cumley, R Poplawski, S Nicholls, B Kele, K Harris, TCGU consortium, TP Peacock, NJ Loman
DOI: 10.1101/2022.03.02.22271697
Tracking SARS-CoV-2 mutations and variants through the COG-UK-Mutation Explorer.
Authors: DW Wright, WT Harvey, J Hughes, M Cox, TP Peacock, R Colquhoun, B Jackson, R Orton, M Nielsen, NS Hsu, COVID-19 Genomics UK (COG-UK) consortium, EM Harrison, TI de Silva, A Rambaut, SJ Peacock, DL Robertson, AM Carabelli
Journal: Virus Evol
DOI: 10.1093/ve/veac023
Context-specific emergence and growth of the SARS-CoV-2 Delta variant.
Authors: JT McCrone, V Hill, S Bajaj, RE Pena, BC Lambert, R Inward, S Bhatt, E Volz, C Ruis, S Dellicour, G Baele, AE Zarebski, A Sadilek, N Wu, A Schneider, X Ji, J Raghwani, B Jackson, R Colquhoun, Á O'Toole, TP Peacock, K Twohig, S Thelwall, G Dabrera, R Myers, COVID-19 genomics UK (COG-UK) consortium, NR Faria, C Huber, II Bogoch, K Khan, L du Plessis, JC Barrett, DM Aanensen, WS Barclay, M Chand, T Connor, NJ Loman, MA Suchard, OG Pybus, A Rambaut, MUG Kraemer
Published:
Journal: medRxiv
DOI: 10.1101/2021.12.14.21267606
Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave.
Authors: P Birrell, J Blake, E van Leeuwen, N Gent, D De Angelis
Published:
Journal: Philos Trans R Soc Lond B Biol Sci
DOI: 10.1098/rstb.2020.0279
Tracking elimination of HIV transmission in men who have sex with men in England: a modelling study.
Authors: F Brizzi, PJ Birrell, P Kirwan, D Ogaz, AE Brown, VC Delpech, ON Gill, D De Angelis
Journal: Lancet HIV
DOI: 10.1016/S2352-3018(21)00044-8
Changes in UK hospital mortality in the first wave of COVID-19: the ISARIC WHO Clinical Characterisation Protocol prospective multicentre observational cohort study
Authors: B Tom, A Docherty, R Mulholland, N Lone, C Cheyne, D De Angelis, K Diaz-Ordaz, C Donegan, T Drake, J Dunning, S Funk, M Garcia-Finana, M Girvan, H Hardwick, J Harrison, A Ho, D Hughes, R Keogh, P Kirwan, G Leeming, J Nguyen-Van-Tam, R Pius, C Russell, R Spencer, L Turtle, P Openshaw, K Baillie, E Harrison, M Semple
Journal: The Lancet Respiratory Medicine
DOI: 10.1016/S2213-2600(21)00175-2
Monitoring the COVID-19 epidemic with nationwide telecommunication data.
Authors: J Persson, JF Parie, S Feuerriegel
Published:
Journal: Proc Natl Acad Sci U S A
DOI: 10.1073/pnas.2100664118