Work Portfolio
This page contains a selection of work samples showcasing my research, analysis, and applied methodologies. These projects span topics, demonstrating both conceptual frameworks and practical applications. Links to more detailed write ups are included.
Explore how quantitative network analysis and qualitative narratives can be integrated to give systems administrators actionable insights. By mapping relationships between barriers, enablers, this visualization highlights structural complexities and leverage points within healthcare delivery in the Province of Buenos Aires, Argentina. Paired with real-world narratives, it provides both the data-driven context and human-centered understanding necessary for informed decision-making. This approach bridges technical analysis with lived experience, helping administrators identify high-impact interventions that align with both systemic structures and on-the-ground realities.
Explore a quantitative approach to assessing system resilience and effectiveness. The Adaptability Metric measures how easily barriers and enablers can be modified, helping administrators identify high-leverage interventions. The System Performance Indicator integrates adaptability with other structural factors to provide a holistic measure of system effectiveness and complexity. Together, these tools enable data-driven decision-making, allowing leaders to prioritize changes that enhance system function while accounting for real-world constraints.
Explore a structured approach to analyzing complex systems by integrating insights from Critical Systems Thinking (CST), Purposeful Human Activity Systems (PHAS), and other systems methodologies. CST provides a reflexive, multi-perspective lens, ensuring that systemic interventions account for power dynamics, stakeholder interests, and ethical concerns. PHAS frames systems as purpose-driven constructs, helping diagnose misalignments between design, function, and human behavior. By combining these with network analysis, adaptability metrics, and structural complexity indicators, this framework offers a practical toolkit for diagnosing inefficiencies, assessing resilience, and guiding high-impact interventions in domains like healthcare, supply chains, and industrial strategy.
Explore how human-centered insights and technical analysis can be integrated to solve complex systems problems. Anthropology provides qualitative depth—understanding culture, behavior, and stakeholder dynamics—while industrial engineering offers quantitative tools for modeling complexity, optimizing processes, and improving decision-making. By combining these perspectives, transdisciplinary approaches enable more holistic problem-solving in fields like healthcare, supply chains, and organizational strategy, ensuring that systems are both technically efficient and socially viable.
Explore how the complex interplay of public and private interests, regulation, human decision-making, and capital investment in healthcare mirrors broader challenges in supply chains, defense, and manufacturing. Like healthcare systems, these industries require balancing efficiency with resilience, navigating policy constraints, and coordinating diverse stakeholders. By applying systems thinking, network analysis, and adaptability metrics, insights from healthcare delivery research can inform industrial strategy, supply chain optimization, and national resilience efforts, demonstrating how human and technical factors must align for complex systems to function effectively.