Personal profile
Research interests
I use mathematical models to describe how infectious diseases spread in (typically human) populations and how pathogens evolve, for example in the case of emerging of resistance to drugs. Although I have worked also on spread of infection on networks, the areas of main interest to me at present involve infections in the context of:
- Populations with a social structure (e.g. age classes, households, schools, etc.)
- Multiscale models (i.e. within-host dynamics and between-host transmission)
- Statistical methods for parameter estimation
The model construction process per se is already a third of the journey. The second third is the analysis of the model, and I try to work at the boundary between models that are analytically tractable and models that need to be studied via large stochastic simulations. Because my work is driven by a biologically relevant question, I typically use any mathematical tool that turns out to be useful for the problem, but most commonly:
- Ordinary differential equations (ODEs)
- Integral equations
- Stochastic processes
- Individual-based stochastic simulations
The third part of the journey is to estimate model parameters, so more recently I am developing a growing interest in Bayesian statistics, and more general in data science.
In such an interdisciplinary field, a surprising amount of time is spent clarifying poorly defined concepts. I am particularly interested in comparing the behaviour of a range of different models and the assumptions on which they rely, in order to ensure as much as possible that the model predictions do actually reflect the system at hand, rather than being an artefact of the particular mathematical representation used.
Overview
I work in the Applied Mathematics group of the School of Mathematics. My research interests are in the area of mathematical models for infectious disease dynamics, which include both mathematics and statistics. My current fellowship focuses on developing multi-scale methods to study the epidemiological and evolutionary consequences of co-infection (e.g. when two different pathogens, or variants of the same pathogen, interact within the host).
Biography
After a 4-year degree in Mathematics from the Università di Trieste (Italy), I moved to London, for a PhD and postdoc at Imperial College (2005-2012). After another postdoc at the University of Warwick (2012-2017), I was awarded a Sir Henry Dale Fellowship, which I’m now continuing at the University of Manchester.
Education/Academic qualification
Doctor of Philosophy, Epidemic models in socially structure populations, Department of Infectious Disease Epidemiology, Imperial College London
External positions
Joint Chief Data Science Advisor, Uk Health Security Agency
8 Nov 2021 → …
Visiting Fellow, The University of Warwick
Aug 2017 → …
Visiting Fellow, The University of Warwick
Aug 2017 → …
Honorary Research Associate, Department of Infectious Disease Epidemiology, Imperial College London
Mar 2012 → …
Research Beacons, Institutes and Platforms
- Digital Futures
- Healthier Futures
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 5 Gender Equality
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SDG 11 Sustainable Cities and Communities
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SDG 13 Climate Action
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SDG 15 Life on Land
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SDG 16 Peace, Justice and Strong Institutions
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Collaborations and top research areas from the last five years
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A systematic review to identify research gaps in studies modeling MenB vaccinations against Neisseria infections
Metelmann, S., Thompson, A., Donten, A., Oke, S., Sun, S., Borrow, R., Xu, F., Vivancos, R., Decraene, V., Pellis, L. & Hall, I., 2 Jan 2025, In: PLoS ONE. 20, 1, e0316184.Research output: Contribution to journal › Article › peer-review
Open Access -
Probability of extinction and peak time for multi-type epidemics with application to COVID-19 variants of concern
Curran-Sebastian, J., Dyson, L., Hill, E. M., Hall, I., Pellis, L. & House, T., 7 Jul 2025, In: Journal of Theoretical Biology. 608, p. 112135Research output: Contribution to journal › Article › peer-review
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Time-varying reproduction number estimation: fusing compartmental models with generalized additive models
Pang, X., Han, Y., Tressier, E., Abdul Aziz, N., Pellis, L., House, T. & Hall, I., 29 Jan 2025, In: Journal of the Royal Society Interface. 22, 222Research output: Contribution to journal › Article › peer-review
Open Access -
Uncertainty quantification in cost-effectiveness analysis for stochastic-based infectious disease models: Insights from surveillance on lymphatic filariasis
Antony Oliver, M. C., Graham, M., Manolopoulou, I., Medley, G. F., Pellis, L., Pouwels, K. B., Thorpe, M. & Hollingsworth, T. D., 21 Aug 2025, In: Journal of Theoretical Biology. 611, p. 112197Research output: Contribution to journal › Article › peer-review
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Calculation of Epidemic First Passage and Peak Time Probability Distributions
Curran-Sebastian, J., Pellis, L., Hall, I. & House, T., 2024, In: SIAM / ASA Journal on Uncertainty Quantification . 12, 2, p. 242-261 20 p.Research output: Contribution to journal › Article › peer-review
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Analytical Tools for FFX Studies and the Go.Data Framework
House, T. (PI) & Pellis, L. (CoI)
1/04/25 → 31/03/28
Project: Research
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Mathematical Epidemiology Group
Hall, I. (PI), House, T. (Researcher), Pellis, L. (Researcher), Riley, H. (Researcher), Scarabel, F. (Researcher), Whitfield, C. (Researcher), Xu, F. (Researcher), Xu, J. (Researcher), Curran-Sebastian, J. (PGR student), Das, R. (PGR student), Pang, X. (PGR student), Webb, L. (PGR student), Silva, M. (PGR student), Overton, C. (Researcher) & Stage, H. (Researcher)
Project: Research
Impacts
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Modelling in a pandemic: advising the UK response to COVID-19, and protecting enclosed communities
Pellis, L. (Participant), Hall, I. (Participant), House, T. (Participant), Overton, C. (Participant), Stage, H. (Participant) & Guettel, S. (Participant)
Impact: Health and wellbeing