Dr Alice Corbella

I am an Assistant Professor in Applied Statistics.

Previously, I was a Post-Doctoral Research Associate of the Bayes4HealthLink opens in a new window collaboration, a project that aims at developing new advanced methods to tackle health problems. I worked under the joint supervision of Gareth Roberts and Simon Spencer.

As part of my work, I am looking at MCMC methods, particularly focussing on the Zig-Zag sampling (Bierkens et al, 2019) and its application to Bayesian inference of infectious disease dynamics from epidemic data.

Previously, I was in Cambridge (MRC Biostatistics Unit), where I did a PhD under the joint supervision of Anne PresanisLink opens in a new window and Dani De Angelis Link opens in a new windowon epidemic models for influenza. You can find my PhD thesis hereLink opens in a new window.

Please come to my office for a chat on the most interesting topics of stats (MCMC, SMC, dynamic models and SSMs, infectious disease dynamics, model identifiability and many more!). Or let's chat at the events I'll be attending, listed below.

Upcoming conferences/workshops

• IDDconf2026 in Ambleside (Lake District) on 7th-9th of July 2026
• EMS in Lugano on 24th-28th August 2026

Publications

• Corbella A, McKinley TJ, Birrell PJ, Presanis AM, Spencer SE, Roberts GO, De Angelis D. The Lifebelt Particle Filter for robust estimation from low-valued count data. arXiv preprint arXiv:2212.04400. 2024 Aug.
• Corbella A, Spencer SEF, and Roberts GO, Automatic Zig-Zag sampling in practiceLink opens in a new window. Statistics and Computing, to appear.
• Corbella A, Birrell PJ, Presanis AM and De Angelis D, Inferring Epidemics from Multiple Dependent Data via Pseudo-Marginal MethodsLink opens in a new window. Submitted to The Annals of Applied Statistics.
• Jackson CH, Grosso F, Kunzmann K, Corbella A, Gramegna M, Tirani M, Castaldi S, Cereda D, De Angelis D, Presanis A. Trends in outcomes following COVID-19 symptom onset in Milan: a cohort studyLink opens in a new window. BMJ open, 2022.
• Grosso FM, Presanis AM, Kunzmann K, Jackson C, Corbella A, Grasselli G, Andreassi A, Bodina A, Gramegna M, Castaldi S, Cereda D. Decreasing hospital burden of COVID-19 during the first wave in Regione Lombardia: an emergency measures contextLink opens in a new window. BMC Public Health, 2021.
• Presanis AM, Kunzmann K, Grosso FM, Jackson CH, Corbella A, Grasselli G, Salmoiraghi M, Gramegna M, De Angelis D, Cereda D. Risk factors associated with severe hospital burden of COVID-19 disease in Regione Lombardia: a cohort studyLink opens in a new window. BMC infectious diseases, 2021.
• Birrell PJ, Zhang XS, Corbella A, Van Leeuwen E, Panagiotopoulos N, Hoschler K, Elliot AJ, McGee M, Lusignan SD, Presanis AM, Baguelin M. Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case studyLink opens in a new window. BMC Public Health, 2020.
• Corbella A, Zhang XS, Birrell PJ, Boddington N, Pebody RG, Presanis AM, De Angelis D. Exploiting routinely collected severe case data to monitor and predict influenza outbreaksLink opens in a new window. BMC public health, 2018.
• Bertarelli G, Corbella A, Iorio JD, Gorshechnikova A, Scott M. Curve Clustering for Brain Functional Activity and SynchronizationLink opens in a new window. START UP RESEARCH 2017, Springer, Cham.

Students

MSc Statistics students

• Huize Liu, Sub-type Specific Disease Transmission

MPhil in Population Health, MRC BSU, University of Cambridge

• Van Ngo, Impact of reporting delay on the estimation of the effective reproduction number

Contact Details

Department of Statistics
University of Warwick
CV4 7AL, UK

Office: MB 2.16

Email: alice.corbella@warwick.ac.uk

My Google Scholar profileLink opens in a new window

Office hours Term 2 [Note week 9-last changes due to travels, apologies for the disruption!!]:

Wed 10:30-12:30

Fri 15:30-16:30