My research focus is on applied statistics, in particular improving the application of machine learning techniques in the field of hydrology and water resources. My career started in water resources engineering, gathering data and running mathematical models. Since then, I have studied applied mathematical models in my MSc and statistical models in my PhD and dedicated my efforts towards improving the extraction of meaningful messages out of the vast amount of water-related data currently collected globally. I have a keen interest in developing appropriate visualisations to express the outcome of my work.
Supervised and unsupervised learning techniques
PhD - Statistics, UNSW, Australia
MSc - Applied and Computational Mathematics, Oxford University, UK
Clark, S., Sarlin P., Sharma A., & Sisson S.
(2015). Increasing dependence on foreign water resources? An assessment of trends in global virtual water flows using a self-organizing time map. Ecological Informatics. 26, 192-202. doi: 10.1016/j.ecoinf.2014.05.012