Professor David Greenhalgh
Mathematics and Statistics
Personal statement
I gained a PhD from the University of Cambridge in 1984 and worked at Imperial College, London from 1984 to 1986. I also have a first class Honours degree in Mathematics and a distinction in Part III Mathematics. I am currently a member of the Population Modelling and Epidemiology Research Group at Strathclyde and have been a member of Strathclyde in the Departments of Mathematics, Statistics and Modelling Science and Mathematics and Statistics since 1986. I am currently Fourth Year Adviser of Studies and also Executive Editor of Journal of Biological Systems.
In 2015 I was awarded a two year (2015-2017) Leverhulme Trust Research Fellowship grant (50K RF-2015-88) as PI to study mathematical modelling of vaccination against dengue.
Area of Expertise
I have expertise in mathematical and statistical modelling applied to biological problems, using differential equations to model biological problems, mathematical analysis, stochastic analysis, stochastic differential equations, maximum likelihood estimation and R software.
I have also taught many courses in the area of mathematics and statistics and supervised or co-supervised many undergraduate and postgraduate projects in mathematics and statistics.
Prize And Awards
- British Malaysia Chamber of Commerce Business Excellence Awards, May 2022
- Recipient
- 26/5/2022
- Best Presentation at Conference Award
- Recipient
- 21/8/2019
Publications
- Combatting Malaysia’s dengue outbreaks with auto-dissemination mosquito traps : a hybrid stochastic-deterministic SIR model
- Wells Jonathan, Greenhalgh David, Liang Yanfeng, Megiddo Itamar, Nazni Wasi Ahmad, Guat-Ney Teoh, Lee Han Lim
- Communication in Biomathematical Sciences Vol 6, pp. 169-188 (2023)
- https://doi.org/10.5614/cbms.2023.6.2.7
- Modeling criminal careers of different levels of offence
- Raimundo Silvia Martorano, Yang Hyun Mo, Rubio Felipe Alves, Greenhalgh David, Massad Eduardo
- Applied Mathematics and Computation Vol 453 (2023)
- https://doi.org/10.1016/j.amc.2023.128073
- Incorporation of awareness programs into a model of the spread of HIV/AIDS among people who inject drugs
- Alsharari Maha, Greenhalgh David
- Engineering Reports Vol 5 (2023)
- https://doi.org/10.1002/eng2.12593
- Impact of tetravalent dengue vaccination with screening, ADE and altered infectivity on single-serotype dengue and Zika transmission
- Kribs Christopher, Greenhalgh David
- Journal of Mathematical Biology Vol 86 (2023)
- https://doi.org/10.1007/s00285-023-01915-7
- Modeling the spread of hepatitis C virus amongst people who inject drugs
- Greenhalgh David, Al-Rashidi Nader
- Engineering Reports Vol 4 (2022)
- https://doi.org/10.1002/eng2.12503
- Evaluation of a mosquito home system for controlling Aedes aegypti
- Mohd Ngesom Ahmad Mohiddin, Razi Anis Ahmad, Azizan Nur Syahirah, Nazni Wasi Ahmad, Lasim Asmalia Md, Liang Yanfeng, Greenhalgh David, Min Jasmin Chia Siew, Sahani Mazrura, Hod Rozita, Othman Hidayatulfath
- Parasites and Vectors Vol 14 (2021)
- https://doi.org/10.1186/s13071-021-04918-9
Teaching
My current teaching includes
MM111 Mathematics 1B
Teaches basic mathematics, foundations, calculus and complex numbers to engineering students.
MM114 Engineering Mathematics 2E
Teaches basic mathematics, calculus, geometry and vectors, matrices and numerical methods to engineering students.
MM118 Foundation Statistics.
Teaches basic statistics, data presentation, probability, hypothesis testing, confidence intervals, regression, correlation and association to bioscientists.
MM304 Inference and Regression Modelling.
Teaches statistical inference and advanced regression technques to mathematically based degree students.
Research Interests
My research interests involves mathematical and statistical techniques applied to biological problems, in particular mathematical and statistical modelling in epidemiology. I have over eighty papers in high quality refereed journals and have supervised or co-supervised almost twenty research students, seventeen at PhD level. I am regularly invited to speak at international conferences including as keynote and plenary speaker. Application areas of interest include HIV/AIDS, both heterosexual spread and spread amongst intravenous drug users, dengue vaccination, hepatitis A, hepatitits C, mumps and rubella. I have extensive overseas collaborations including Brazil (Professor E. Massad), India (Professor J. Chattopadhyay), Oman (Professor Q. J. A. Khan), Germany and The Netherlands.
In 2015 I was awarded a two year (2015-2017) Leverhulme Trust Research Fellowship grant (50K RF-2015-88) as PI to study mathematical modelling of vaccination against dengue.
Professional Activities
- The 7th International Conference on Big Data Management
- Keynote/plenary speaker
- 2/2/2024
- 16th International Conference on Machine Learning and Computing
- Keynote/plenary speaker
- 2/2/2024
- Julie Priscilla Souza dos Santos
- Host
- 1/1/2024
- 2nd International Conference on Mathematical Analysis and Applications in Modelling
- Keynote/plenary speaker
- 9/10/2023
- Asep Supriatna
- Host
- 1/9/2023
- Glasgow Computational Biology Conference
- Participant
- 3/7/2023
Projects
- Mathematical Modelling of a Novel Autodissemination Mosquito Trap
- Greenhalgh, David (Principal Investigator) Megiddo, Itamar (Co-investigator) Liang, Yanfeng (Researcher) Wells, Jonathan (Researcher) Massad, Eduardo (Research Co-investigator) Lee, H. (Research Co-investigator) Nazni, Wasi Ahmad (Research Co-investigator) Teoh, Guat-ney (Research Co-investigator) Ahmad Mohiddin, M. N. (Research Co-investigator) Hidayatul, Fathi Othman (Research Co-investigator) Bahauddin, R. (Research Co-investigator)
- £49,988 award for an internally allocated 2018 Scottish Funding Council (SFC) Global Challenges Research Fund (GCRF) Escalator Fund with Dr. I. Megiddo, Management Science. Awarded June 2018. DG PI 80% share. Funding for two RAs for 10 months in total, plus staff time plus conference travel. Finance Office Budget Code SFC 1204-125.
- 01-Jan-2018 - 31-Jan-2019
- A New, Sustainable, Effective and Efficient Strategy to Outsmart the Dengue Vector Mosquitoes (Newton Funds)
- Greenhalgh, David (Principal Investigator)
- A New, Sustainable, Effective and Efficient Strategy to Outsmart the Dengue Vector Mosquitoes - Newton Funds
- 01-Jan-2016 - 31-Jan-2019
- EPSRC Institutional Sponsorship: Global Challenges Research Fund (GCRF) / R160677-105
- Greenhalgh, David (Principal Investigator)
- 01-Jan-2016 - 31-Jan-2017
- Mathematical Modelling of Vaccination Against Dengue
- Greenhalgh, David (Principal Investigator)
- 01-Jan-2015 - 31-Jan-2017
- Memorandum of understanding with Sultan Qaboos University, Oman
- Greenhalgh, David (Principal Investigator) Khan, Qamar (Academic)
- I have arranged a Memorandum of Understanding with Sultan Qaboos University, Oman for potential undergraduate student and postgraduate student exchange, exchanges of staff and joint research projects.
- 29-Jan-2015 - 29-Jan-2018
- KTA - Applying Mathematical Models To Inform Health Professional In Scotland On How To Prevent HCV
- Hutchinson, Sharon (Principal Investigator) Greenhalgh, David (Co-investigator)
- Applying mathematical models to inform health professionals in Scotland on how to prevent the transmission of Hepatitis C among people who inject drugs
- 03-Jan-2011 - 31-Jan-2013
Contact
Professor
David
Greenhalgh
Mathematics and Statistics
Email: david.greenhalgh@strath.ac.uk
Tel: 548 3653