I work to understand how streamflow will change in Western Canadian rivers under climate change. I ask: which communities will experience a substantial change in water supply due to the loss of glacier ice? How well can deep learning techniques model regional streamflow from regional weather?
I am broadly interested in applied data science techniques in the context of climate change. Please feel free to reach out if your interests overlap!
Sam Anderson and Valentina Radic. "Evaluation and interpretation of convolutional long short-term memory networks for regional hydrological modelling." Hydrology and Earth System Sciences. (2022)
Sam Anderson and Valentina Radic. "Identification of local water resource vulnerability to rapid deglaciation in Alberta." Nature Climate Change. (2020)
Jerome Mayaud, Sam Anderson, Martino Tran, Valentina Radic. "Insights from Self-Organizing Maps for Predicting Accessibility Demand for Healthcare Infrastructure." Urban Science (2019)
Michael Wong, Kyle Holland, Sam Anderson, Shahriar Rizwan, ZhiCheng Yuan, Terence Hook, Diego Kienle, Prasad Gudem, Mani Vaidyanathan. "Impact of Short-Wavelength and Long-Wavelength Line-Edge Roughness on the Variability of Ultra-Scaled FinFETs." IEEE Transactions on Electron Devices. 64.3 (2016): 1231-1238.
Yuan, Zhi Cheng, Shahriar Rizwan, Michael Wong, Kyle Holland, Sam Anderson, Terence B. Hook, Diego Kienle, Serag Gadelrab, Prasad S. Gudem, and Mani Vaidyanathan. "Switching-Speed Limitations of Ferroelectric Negative-Capacitance FETs." IEEE Transactions on Electron Devices 63.10 (2016): 4046-4052.