Data Scientist for the U.S. National Park Service, with over 15 years of experience using R for acoustical analysis, data reduction, visualization, and integration with online systems. Developed C# desktop applications including noise source modeling using ISO 9613 standards, streamlined data conversion and ingestion routines, and one-off productivity enhancement daemons.Created low cost ADS-B and sound level meter instrumentation using C and CircuitPython with Arduino embedded microcontrollers for outdoor, low power data collection. Using our in-house CNC machine, designed and deployed custom enclosures and panel mounts for environmental monitoring.Extensive use of benchtop lab equipment (o-scopes, multimeters, reflow and soldering stations, variable power supplies), simple circuit layout (mainly for ease of wiring of monitoring equipment), and photovoltaic system design for off-grid deployments.Familiarity with NEPA and other US-based environmental regulations, collaboration with FAA, DOT, and FHWA, as well as numerous university groups and environmental consultants.Moderate to advanced experience with Microsoft Excel (although R or Python should really be used in most scenarios, but Excel still has its place). Windows development and troubleshooting during work hours, Linux/MacOS on personal time.Wilderness and backcountry experience, operational leadership, field diagnostics and repair, off-road driving, snowmobile, radio and telecom training.Degree in Physics from McGill University, with a diploma in Environmental Science.Fluent in English and French, amateur landscape and astrophotographer. Eligible for EU citizenship, but have not yet applied.