From Research to Real-World Strategy
My career is built on a single mission: to help leaders and institutions make smarter decisions in a world defined by complexity, disruption, and exponential technologies.
I operate from two platforms: academic research and strategic practice.
As an Associate Professor at the University of Zagreb, I research how intelligent systems, operations research, and AI can help organizations thrive in rapidly changing environments.
As the Managing Partner at It From Bit, I lead our high-stakes strategic advisory practice. It is the firm through which I apply my research in the real world, partnering directly with executive teams and public decision-makers to solve their most complex challenges—from supply chain resilience and geopolitical risk assessment to developing robust AI governance systems.
This dual “Professor-Practitioner” perspective ensures the solutions I deliver are both theoretically rigorous and battle-tested.”
As a former self-trained competitive freediver, long-distance triathlete, and marathon runner, I thrive on endurance and exploration—both physical and intellectual. I seek challenging, concrete experiences as a way to grow and apply my thinking in the real world. In my free time, I put my theories in optimization, risk management, and logistics to the test through adventures like long-distance kayaking, Mediterranean cycle tours, and navigating open-sea routes. I find equal challenge in these undertakings as I do in deep dives into poetry, philosophy, and complex systems—believing that insight often emerges where action and reflection meet.
The same principles of endurance and adaptation guide my approach to complex decision systems.
My research continues to inform the frameworks applied through It From Bit’s wargaming and resilience practices..
Education
Ph.D. Computer Science
Thesis: Proactive-reactive project scheduling with flexibility and quality requirements
Institution: University of Zagreb – FER (2010 – 2015)
Focus: AI, Optimization, Scheduling
MSc. Computer Science
Thesis: Source code generator based on UML specifications
Institution: University of Zagreb – FER (2003 – 2008)
Research fields: Software Engineering, Expert Systems, Code Generation