William Waites

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William Waites, CEng MIET, MRSB

Dr

 https://orcid.org/0000-0002-7759-6805

  • United Kingdom

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Personal profile

Personal Statement

I am a Chancellor's Fellow in the Department of Computer and Information Sciences at the University of Strathclyde and a member of the Digital Health and Mathematically Structured Programming research groups. I studied computer science and synthetic biology at the University of Edinburgh School of Informatics and I was a postdoc there and at the London School of Hygiene and Tropical Medicine in the Centre for Mathematical Modelling of Infectious Disease where I worked on the COVID-19 pandemic. For many years previously I worked as a telecommunications engineer and was involved in developing community owned and operated Internet infrastructure in the Scottish Highlands.

Research Interests

I am interested in computational modelling of biological systems, usually with medical or public health applications. At present, I am particularly interested in the interplay between immune response and population dynamics of infectious disease as well as the causes and effects of individual choices on the dynamics of epidemics. I am also interested in communication and data processing infrastructure for telemetry, both to inform the above and more generally.

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):

  • SDG 3 - Good Health and Well-being
  • SDG 11 - Sustainable Cities and Communities

Education/Academic qualification

Doctor of Philosophy, Modelling and Measurement in Synthetic Biology, School of Informatics, Informatics Forum, University of Edinburgh

Award Date: 16 Jun 2020

External positions

Honorary Fellow, School of Informatics, Informatics Forum, University of Edinburgh

1 Apr 2021 → …

Keywords

  • Modelling
  • Networks
  • Process calculi
  • Epidemiology
  • Molecular biology
  • Telecommunications

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Collaborations and top research areas from the last five years

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  • Comparative assessment of methods for short-term forecasts of COVID-19 hospital admissions in England at the local level

    CMMID COVID-19 Working Group, Meakin, S., Abbott, S., Bosse, N., Munday, J., Gruson, H., Hellewell, J., Sherratt, K., Chapman, L. A. C., Prem, K., Klepac, P., Jombart, T., Knight, G. M., Jafari, Y., Flasche, S., Waites, W., Jit, M., Eggo, R. M., Villabona-Arenas, C. J., Russell, T. W., & 31 othersMedley, G., Edmunds, W. J., Davies, N. G., Liu, Y., Hué, S., Brady, O., Pung, R., Abbas, K., Gimma, A., Mee, P., Endo, A., Clifford, S., Sun, F. Y., McCarthy, C. V., Quilty, B. J., Rosello, A., Sandmann, F. G., Barnard, R. C., Kucharski, A. J., Procter, S. R., Jarvis, C. I., Gibbs, H. P., Hodgson, D., Lowe, R., Atkins, K. E., Koltai, M., Pearson, C. A. B., Finch, E., Wong, K. L. M., Quaife, M. & O’Reilly, K., 31 Dec 2022, In: BMC Medicine. 20, 1, 15 p., 86.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    2 Citations (Scopus)
    1 Downloads (Pure)

  • Modelling the medium-term dynamics of SARS-CoV-2 transmission in England in the Omicron era

    Centre for Mathematical Modelling of Infectious Diseases COVID-19 working group, Barnard, R. C., Davies, N. G., Munday, J. D., Lowe, R., Knight, G. M., Leclerc, Q. J., Tully, D. C., Hodgson, D., Pung, R., Hellewell, J., Koltai, M., Simons, D., Abbas, K., Kucharski, A. J., Procter, S. R., Sandmann, F. G., Pearson, C. A. B., Prem, K., Showering, A., & 31 othersMeakin, S. R., O’Reilly, K., McCarthy, C. V., Quaife, M., Wong, K. L. M., Jafari, Y., Deol, A. K., Houben, R. M. G. J., Diamond, C., Jombart, T., Villabona-Arenas, C. J., Waites, W., Eggo, R. M., Endo, A., Gibbs, H. P., Klepac, P., Williams, J., Quilty, B. J., Brady, O., Emery, J. C., Atkins, K. E., Chapman, L. A. C., Sherratt, K., Abbott, S., Bosse, N. I., Mee, P., Funk, S., Lei, J., Liu, Y., Flasche, S. & Rudge, J. W., 31 Dec 2022, In: Nature Communications. 13, 1, 15 p., 4879.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    13 Citations (Scopus)
    1 Downloads (Pure)
View all 38 research outputs
  • 3 Invited talk
  • 1 Editorial board member
  • 1 Journal or guest editorship
View all 5 activities