Personal profile
Research interests
My research is focussed on Bayesian stochastic modelling, inference and assessment across the interface of statistics, epidemiology, actuarial mathematics and life sciences. I have an interdisciplinary research record, with involvement in cross-sectional projects concerning statistical modelling in areas including critical illness insurance, epidemics, health and morbidity. My work also involves collaborations with researchers in life and biomedical sciences. I have supervised a number of PhD students and PDRAs to completion and I currently supervise PhD candidates in topics including Bayesian model assessment in epidemiology, morbidity and mortality. Further research study opportunities are described on my personal webpage.
Biography
I am Professor of Statistics at Heriot-Watt University. Previous roles include associate professor and lecturer at HWU (2004-2019) and post-doctoral positions at BioSS and HWU (2001-2004). I am a member of the Board of Examiners for the Institute and Faculty of Actuaries in the UK, and external examiner for a number of institutes in the UK and overseas. Professional memberships: Fellow of the Royal Statistical Society; member of the International Society for Bayesian Analysis; member of the Greek Statistical Institute. Education: PhD in Statistics (Edinburgh U); MSc (with Distinction) in Statistics and OR (Essex U); Ptychion (BSc) in Statistics and Actuarial Science (Piraeus U, Greece).
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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Collaborations and top research areas from the last five years
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Cancer disparities: Projection, COVID-19, and scenario-based diagnosis delay impact
Arik, A., Cairns, A. J. G. & Streftaris, G., 2 Sept 2025, In: PLoS ONE. 20, 9, e0330752.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)6 Downloads (Pure) -
Cancer insurance pricing under different scenarios associated with diagnosis and treatment
Arik, A., Cairns, A. J. G., Dodd, E., Macdonald, A. S., Shao, A. & Streftaris, G., Nov 2025, In: Annals of Actuarial Science. 19, 3, p. 511-542 32 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)79 Downloads (Pure) -
Controlling the Spread of Livestock Diseases with the Help of Stochastic Models
Lau, M., Firestone, S., Streftaris, G., Marion, G., Burroughs, A. & Gibson, G., 23 Apr 2025, More UK Success Stories in Industrial Mathematics. Springer, p. 195-201 7 p. (Mathematics in Industry; vol. 42).Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Assessing the dynamics and impact of COVID-19 vaccination on disease spread: A data-driven approach
Waseel, F., Streftaris, G., Rudrusamy, B. & Dass, S. C., Jun 2024, In: Infectious Disease Modelling. 9, 2, p. 527-556 30 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)64 Downloads (Pure) -
A Time-Stepper Neural Network Model for the Maximum Likelihood Estimation of Epidemic Parameters
Kwok, W. M., Streftaris, G. & Dass, S. C., 14 May 2024, 2024 20th IEEE International Colloquium on Signal Processing & Its Applications (CSPA). IEEE, 10525520Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Link opens in a new tab Citations (Scopus)
Impacts
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New Statistical Methods for Integrating Epidemic and Genetic Data Within Spatio-Temporal Models Help to Control the Spread of Mycoplasma Bovis in New Zealand.
Gibson, G. J. (Participant) & Streftaris, G. (Participant)
Impact: Health
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