Economist • Researcher • Educator • Systems Thinker •
Bridging Finance, Ecology, and Artificial Intelligence
I am a PhD Researcher and Educator focused on using advanced quantitative methods to address complex global issues. My current work at USI Lugano and Fulda University of Applied Sciences centers on biodiversity finance, where I combine spatial modeling and natural sciences to evaluate the biodiversity impacts of carbon projects.
My approach is deeply influenced by complexity science and a commitment to innovative methodology. I utilize high-performance computing (CSCS) and custom-built AI frameworks to bring new insights to finance and economics. Whether building Python-based agentic workflows for peace negotiations or teaching Master's students how to navigate the AI-driven future of finance, I focus on the practical and ethical application of frontier technology in research and education.
Current Research Projects
Biodiversity Impact of Carbon Credit Projects
Drivers of Carbon Tokenisation Success
International Monetary Networks
ESG Impacts on Firms - Textual Analysis Leveraging LLMs
LLMs in Peace Negotiations
Current Teaching
Quantitative Methods for Master’s Students In Finance, Accounting, and Controlling
Areas of Expertise
Biodiversity Finance
Specializing in the vital connection between financial mechanisms and ecological outcomes, my research at USI Lugano focuses on biodiversity conservation and restoration. By combining financial analysis with spatial modeling and natural sciences, I investigate how carbon markets and investment decisions influence environmental goals, working directly with ecologists to ensure research is scientifically grounded.
Artificial Intelligence and LLMs
Building on a foundation in traditional machine learning from the University of Toronto, I develop frontier AI frameworks for research and professional tasks. My expertise covers the full stack of modern AI: from engineering agentic workflows in Python and LangChain to designing task-specific prompting strategies. I bridge the gap between "statistical language capabilities" and practical, ethical applications in economics and peace negotiations.
Monetary Networks
Financial systems are fundamentally networks of interconnected institutions, regulators, and markets. My work combines network theory training from the University of Toronto and the SFI Complex Systems Summer School with practical experience at the Bank for International Settlements (BIS). There, I developed workflow automation tools and supported data quality processes for Basel III monitoring data, working directly with central banks and contributing to international financial stability reporting. This experience continues to inform my research on the structure and dynamics of global monetary systems.
Quantitative Methods
I utilize high-performance computing to solve large-scale problems that require significant processing power, leveraging the capabilities of the Swiss National Supercomputing Centre (CSCS). My toolkit includes spatial modeling, advanced machine learning, and statistical analysis, with a focus on how innovative computational methods can bring new, evidence-based insights to long-standing problems in finance and economics.
Climate Finance
My research at USI Lugano examines the financial materiality of sustainability by investigating how corporate ESG actions influence stock prices and firm valuation. Drawing on asset pricing principles, I analyze the causal links between environmental initiatives and market performance to understand how these outcomes shape investor demand. By utilizing advanced textual analysis to decode corporate disclosures, I explore how the market prices sustainability-related information and the extent to which financial incentives drive corporate environmental transitions.
Complexity Science
My approach to economic systems is rooted in complexity science and network theory, refined through my time at the SFI CSSS summer school. I study the emergent behaviors and systemic risks within interconnected global systems. By analyzing how agents and institutions interact within networks, I provide a deeper understanding of market dynamics and the resilience of economic and ecological systems.