Vedran Dunjko received his MSc degree in Mathematics and Computer Science from the University of Zagreb, Croatia. In 2012, he completed his PhD in Theoretical Physics at Heriot-Watt University, Edinburgh, UK, working on new quantum cryptographic protocols. After his PhD, he has held post-doctoral positions at the School of Informatics of the University of Edinburgh, Institute of Theoretical Physics of Innsbruck University, and the Theory Group of Max Planck Institute of Quantum Optics in Germany.

Since 2013, his research has focused on various aspects of quantum machine learning including the development of novel quantum algorithms for machine learning and AI problems, and the application of AI methods in quantum contexts. Recently, he has become interested in the connections between AI problems, and quantum-enhanced algorithms for solving NP-hard problems. In particular, he has been developing methods to enable the running of quantum algorithms for NP-hard problems, both exact and heuristic, on size-limited quantum devices.