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- Stephanie Clark
Dr Stephanie Clark
University of Technology Sydney
Stephanie's research focuses on applied statistics, in particular improving the application of machine learning techniques in the field of hydrology and water resources. Stephanie's career started as a water resources engineer, followed by an MSc in applied mathematics and a PhD in statistics, with the aim of improving the extraction and visualisation of meaningful information from the vast amount of water-related data that is currently collected.
Research Interests:
Applied statistics
Clustering
Deep learning
Forecasting
Nonparametric regression
Pattern recognition
Supervised and unsupervised learning techniques
Visualisation
Qualifications:
PhD - Statistics, UNSW, Australia
MSc - Applied and Computational Mathematics, Oxford University, UK
BScEng (Hons) - Civil Engineering, Queens University, Canada
Publications
Journal Articles
Gill, J. S., Clark S., Kadatz M., & Gill J.
(2020). The association of pretransplant dialysis exposure with transplant failure is dependent on the state‐specific rate of dialysis mortality.
American Journal of Transplantation. 20(9), 2481-2490. doi: 10.1111/ajt.15917
Clark, S., Sisson S., & Sharma A.
(2020). Tools for enhancing the application of self-organizing maps in water resources research and engineering.
Advances in Water Resources - Special issue on Machine Learning. 143, 103676. doi: 10.1016/j.advwatres.2020.103676
Clark, S., Kadatz M., Gill J., & Gill J. S.
(2019). Access to Kidney Transplantation after a Failed First Kidney Transplant and Associations with Patient and Allograft Survival.
Clinical Journal of the American Society of Nephrology. 14(8), 1228 - 1237. doi: 10.2215/CJN.01530219
Clark, S., Sharma A., & Sisson S.
(2018). Patterns and comparisons of human-induced changes in river flood impacts in cities.
Hydrology and Earth System Sciences. 22(3), 1793-1810. doi: 10.5194/hess-22-1793-2018
Lan, J. H., Gjertson D., Zheng Y., Clark S., Investigators DKAF., Reed E. F., et al.
(2018). Clinical utility of complement-dependent C3d assay in kidney recipients presenting with late allograft dysfunction.
American Journal of Transplantation. 18(12), 2934 - 2944. doi: 10.1111/ajt.14871
Clark, S., Sisson S., & Sharma A.
(2017). Nonlinear manifold representation in natural systems: the SOMersault..
Environmental Modelling and Software. 89, doi: 10.1016/j.envsoft.2016.11.028
Clark, S., Sisson S., & Sharma A.
(2016). A dimension range representation (DRR) measure for self-organizing maps.
Pattern Recognition. 53, 276-286. doi: 10.1016/j.patcog.2015.11.002
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
