How can we make Better Strategic Decisions in a World that has become too Complex for any Individual to fully comprehend?
International politics · Strategic analysis · Computational methods · Human-machine collaboration
I am a student of international politics driven by a simple but increasingly urgent question: how can we make better strategic decisions in a world that has become too complex for any individual to fully comprehend?
What Drives My Research?
My academic interests sit at the intersection of international relations, security studies, computational social science, philosophy of science, and public policy. Across these domains, I’m motivated by a broader ambition: to understand how knowledge about international politics is produced, how emerging technologies can augment that knowledge, and how the resulting insghts can be translated into better strategic and policy decisions.
The contemporary security environment is defined by interconnected crises, technological disruption, information overload, and rising uncertainty. Traditional approaches to international relations remain essential for understanding these developments. However, I believe new analytical tools, including machine learning, network analysis, agent-based modelling, simulation, and AI, offer real opportunities to complement existing forms of reasoning and decision-making.
What My Work Tries to Bridge
My work sits between four domains that are often treated separately:
- Philosophy and Epistemology
How do we know what we think we know? - Computational Methods and Technology
What can Models, Simulations, and AI add? - Academic Research & Theory
How can new Methods contribute to substantive questions in International Relations and Security Studies? - Strategy & Policy
How can Analytical Insight improve real-world decision-making?
Why Bring These Fields Together?
My work tries to bridge these four domains, which are often treated separately: philosophy and epistemology, computational methods and technology, academic research and theory, and strategy and policy.
Ultimately, I aim to contribute to a research tradition that helps policymakers and strategic leaders reason more effectively about uncertainty, complexity, and geopolitical change.
Research Philosophy
What can we actually know about International Politics, and what role should technology play in producing that knowledge?
I don’t treat models as predictive machines. I see them as structured environments for exploration, experimentation, and strategic reasoning
My Research Philosophy
My research starts with a philosophical question rather than a methodological one: what can we actually know about international politics, and what role should technology play in producing that knowledge?
Many scholars focus primarily on explaining political outcomes. I’m equally interested in how those explanations get constructed, and how the analytical tools we use shape the knowledge we produce.
That is what has pulled me toward computational approaches. Not because I think algorithms can replace human judgment, but because I think they can be powerful complements to it.
My work is therefore neither purely positivist nor purely interpretivist. It combines philosophical reflection, empirical analysis, methodological innovation, and policy relevance.
Four Research Areas I’m Exploring
01 — Computational International Relations
Networks · Machine Learning · Alliances · Conflict · Geopolitical Alignment
Using computational methods to study substantive questions in international politics.
I am interested in how computational methods can reveal patterns in cooperation, conflict, alliances, security partnerships, and geopolitical change.
Explore This Research Area
Machine learning, network analysis, and simulation techniques are not applied for technical interest alone, but to substantive questions: predicting patterns of cooperation and conflict, mapping alliance networks, studying security partnerships, identifying emerging geopolitical alignments, analysing strategic narratives, and monitoring technological competition.
My undergraduate thesis on predicting defence cooperation agreements through machine learning was an early exploration of this agenda.
Questions I’m interested in include:
- How do networks of alliances and security partnerships evolve?
- Can computational methods identify patterns that traditional analysis may overlook?
- How should machine-learning outputs be interpreted in politically complex environments?
- How can computational tools support rather than distort strategic judgment?
02 — Agent-Based Modelling & Strategic Simulation
Simulation · Bounded Rationality · Deterrence · Escalation · Strategic Experimentation
Treating models as laboratories for strategic reasoning rather than machines for prediction.
The value of a simulation is not necessarily that it tells us what will happen. It may be that it forces us to think more carefully about what could happen, why, and under which assumptions.
Explore this Research Area
I am interested in representing geopolitical systems as collections of interacting actors operating under bounded rationality, incomplete information, and competing objectives.
These models can be used to study conflict dynamics, alliance formation, deterrence, escalation, economic statecraft, and technological competition.
I don’t see these models primarily as prediction tools. I see them as experimental laboratories, strategic thinking environments, and decision-support systems.
A long-term ambition is to incorporate expert knowledge into simulation environments through expert elicitation, structured scenario generation, human-machine collaboration, and AI-assisted modelling.
03 — Human-Machine Collaboration
AI · Strategic Judgment · Trust · Decision Support · Human-Machine Systems
How should humans and computational systems reason together?
What should remain human? What can be delegated? And what happens when neither human nor machine should reason alone?
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What analytical tasks should remain human? Which can be delegated to computational systems?
How can AI improve strategic reasoning, and how should policymakers interpret algorithmic outputs? How is trust actually built between analysts and the systems they’re asked to rely on?
These questions matter because the future of strategic analysis is unlikely to be either entirely human or entirely automated.
I imagine future policy environments where human expertise, simulation models, AI systems, and strategic judgment are integrated into genuinely collaborative decision-making.
Understanding how such systems should be designed is a major part of my future research agenda.
The challenge is not simply to build more capable models. It is to understand where machines add value, where human judgment remains indispensable, and how the two should interact.
04 — Strategy, Security & International Order
NATO · Great-Power Competition · Defence Policy · Emerging Technology · Geopolitics
Applying analytical innovation to real strategic and security problems.
My substantive interests range from alliance politics and European security to technological competition and the changing international order.
Explore this Research Area
My substantive interests include NATO and transatlantic security, great-power competition, defence policy, alliance politics, emerging technologies and security, strategic foresight, geopolitical competition, the Middle East, the Indo-Pacific, and European security.
I’m particularly interested in how technological change affects strategic competition and how institutions adapt to evolving security environments.
Across these issues, my interest is not only in explaining geopolitical developments, but also in understanding how governments and institutions can reason and act under conditions of uncertainty.
How These Areas Connect
- Knowledge
Philosophy & Epistemology - Methods
Networks · Machine Learning · Simulation · AI - Analysis
International Relations · Security Studies · Strategic Theory - Decision-Making
Policy · Strategy · Defence · Diplomacy
The Ideas Connecting My Research
The aim is not to replace traditional strategic analysis with computational methods.
It is to understand how different forms of knowledge, modelling, expertise, and judgment can be combined more effectively.
Long-Term Vision
Research –> Policy –> Strategic & Diplomatic Practice
- Research
Develop Computational Approaches to International Politics & Strategic Analysis - Policy
Apply Those Approaches to Strategic Planning, Defence Policy, and International Security Decision-Making - Strategic & Diplomatic Practice
Bring Research and Analytical Innovation to Higher-Level Policy and Diplomatic Environments
Where I Hope this Leads
Over time, I hope to connect research, policy, and strategic practice more closely, especially in international security and decision-making under uncertainty.
The Question Behind My Interests
How can we combine human judgment, technological innovation, and rigorous analysis to make better strategic decisions in an increasingly complex world?