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Graduate Research Assistant at CIWRO, working as part of NSSL's Stormscale Hydrology Group. Hired initially at CIWRO (formerly CIMMS) as a Research Scholar on early 2017, transitioned to Graduate Research Assistant when accepted into M.Sc. program for Fall 2017. Started as part of NSSL’s ANCHOR project (https://www.nssl.noaa.gov/projects/anchor/), working with remote autonomous non-contact sensing technologies applied to hydrologic observations in streams. These include Stream RADAR technologies for real-time streamflow monitoring and alerting, as well as automated LIDAR-based bathymetry retrieval for small streams. Has also worked as part of NSSL's FLASH project (https://www.nssl.noaa.gov/projects/flash/), working primarily on post-wildfire debris flow products, and on product visualization technologies. Research during his M.Sc. studies focused on the machine learning-based characterization of flash flood lag times, derived from spatial moments of catchment rainfall. His current PhD research revolves around constructing a model to provide FLASH product outputs with probabilistic impact labels. Main research interests lie in applied machine learning, data-driven modeling, and hydroinformatics. Deeply interested in unsupervised machine learning techniques, knowledge discovery, data exploration and visualization. Other research interests and applications include Internet of Things, embedded systems, software engineering and telecommunications.