I'm a Remote Sensing Scientist at the Water division of the NSW Department of Planning and Environment. I have a PhD from the Water Research Laboratory, University of New South Wales. My interest is in satellite remote sensing for Earth sciences, development of webGIS applications and machine learning classification/regression problems. I mainly code in Python and use big data cloud computing platforms (like Google Earth Engine) to extract useful data from publicly available satellite imagery.

I enjoy developing open-source remote sensing tools and creating web applications to visualise geospatial data. I also have experience as a data scientist solving regression/classification machine learning problems and decision making problems with reinforcement learning (Pytorch/Tensorflow).

More info about my research and projects can be found on my personal website.

• Coastsat: global shoreline mapping toolbox from publicly available satellite imagery with Google Earth Engine
• Coastsat webGIS portal: interactive webGIS portal to explore large-scale coastal change data
• CoastSat.slope: beach slope estimation from satellite-derived shorelines and tide models
• SDS_Benchmark: benchmarking platform for satellite-derived shoreline algorithms