
Background
Tharindu Wickramaarachchi is a health economics modeller based in Melbourne. His research interests are modeling infectious disease transmission, and economic modeling of newborn, maternal and adolescent health programs. Prior to joining Burnet Institute, his work mainly focused on modelling of vector-borne diseases, particularly dengue virus transmission in Sri Lanka.
Tharindu has a background in applied mathematics with expertise in non-linear differential equations, mathematical formulation of real-world systems, and uncertainty quantification in multi-factor-driven systems and computing. He has a strong interest in applying his quantitative and modelling skills to solve problems in public health and to support evidence-based decision-making in Australia, Asia-Pacific and beyond. He has already collaborated to support resource allocation decision making in family planning, maternal health, adolescent health and child nutrition for countries such as Indonesia, Papua New Guinea, Mongolia and the Philippines.
Tharindu also has experience in working collaboratively in multidisciplinary research groups within Burnet as well as with external organisations such as UNFPA and the World Bank.
Qualifications
- PhD in Mathematical Modeling, University of Colombo, 2015
- BSc Hons, First Class, Mathematical Finance, University of Colombo, 2011
Positions
- Mathematical Modeller in Health, Burnet Institute, Melbourne, Australia, 2020 to present
- Lecturer in Mathematics, The Open University of Sri Lanka, Colombo, 2015 to 2020
- Research Assistant in Mathematical Modeling, University of Colombo, Sri Lanka, 2012 to 2015
- Software Quality Assurance Engineer, Virtusa PVT Ltd, 2011 to 2012
Reports and other work
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DEVELOPING A TWO DIMENSIONAL CLIMATE RISK MODEL FOR DENGUE DISEASE TRANSMISSION IN URBAN COLOMBO.
Dengue has been a major public health concern in the tropical world for decades now. The dynamics of dengue disease transmission are complex and uncertain due to various external factors such as climate, human behavior, geography and demography. Fuzzy logic and fuzzy set theory are useful tools in mathematics to model systems under uncertainty where classical approaches are insufficient.
DEVELOPING A TWO DIMENSIONAL CLIMATE RISK MODEL FOR DENGUE DISEASE TRANSMISSION IN URBAN COLOMBO. -
Investigating the impact of climate on dengue disease transmission in urban Colombo: A Fuzzy logic model, Proceedings of the 4th Annual International Conference on Computational Mathematics, Computational Geometry & Statistics
Investigating the impact of climate on dengue disease transmission in urban Colombo: A Fuzzy logic model, Proceedings of the 4th Annual International Conference on Computational Mathematics, Computational Geometry & Statistics
Burnet publications
An SIER model to estimate optimal transmission rate and initial parameters of COVD-19 dynamic in Sri Lanka
Alexandria Engineering Journal
W.P.T.M. Wickramaarachchi
COVID-19 Epidemic in Sri Lanka: A Mathematical and Computational Modelling Approach to Control
Computational and Mathematical Methods in Medicine
W.P.T.M. Wickramaarachchi
Modelling and analysis of dengue disease transmission in urban Colombo: a wavelets and cross wavelets approach
Journal of the National Science Foundation of Sri Lanka
W.P.T.M. Wickramaarachchi