Independent consultant with an interdisciplinary background in natural resource development, engineering, and socio-political risk mitigation. I enjoy working with talented multidisciplinary and international teams, and have ongoing and completed projects and partnerships on six continents. My work with numerical modeling and machine learning algorithms have both academic and industrial value, advancing the areas of graph-theoretic network modeling and reducing social risk management costs by over $50,000 per project.My passion is for sustainable resource development, and my work reflects the full-lifecycle of sustainability, from the mining of critical minerals, to the feasibility and engineering of renewable energy systems, to socio-economic risk mitigation, to product end-of-life and recycling. Some notable achievements from my career include:* Established thought leadership through collaborative, multidisciplinary research on stakeholder engagement and consensus building, computational network modeling, machine learning, and identification of emerging conflicts and risks, with 11 peer-reviewed publications and 20+ academic and industrial conference presentations.* Applied thought leadership and analytical skills to a variety of real world client problems, including mining and energy social license assessment and strategic mitigation, electronic waste recycling, solar, wind, and geothermal exploration and feasibility studies, environmental impact assessments, environmental policy testing, and sustainable resource development projects, yielding over $550k in consulting revenue over 3 years.* Developed and deployed software IP to facilitate online client network mapping workshops (NetWorkshop) and stakeholder issue detection and analysis programs (SLaCDA), reducing workshop costs by an average of 26% and social license measurement costs by 50% (>$50K/project).I have both qualitative and technical expertise in both the mining and renewable energy sectors, with skills in consulting, sustainability, stakeholder management, sociopolitical risk, machine learning, data science, data visualization, and advanced analytics.