About Mario Brcic

Mario Brcic is an Advisor for Data Science and AI at startup Huddle Gaming Inc., a provider for gaming operators, since 2022 where he contributes with his experience in machine learning, AI, and HPC to revolutionize the industry. Also, he works as an assistant professor at the University of Zagreb Faculty of Electrical Engineering and Computing since 2019 with interests in value alignment, combinatorial optimization, and reinforcement learning. He works as a consultant for companies in the areas of data science, management science, and optimization. Previously, he worked as a Data Science & AI Team Lead at HPC Research Center@FER 2019-2021 where he worked on applied and scientific research into Edge AI and AI applications in (energy-efficient, exascale) High-Performance Computing with a focus on multimedia, automotive, and genomics.

Mario holds a master’s degree in computer science since 2008 with the thesis titled “Source code generator based on UML specifications”. He got Ph.D. in computer science in 2015 with the thesis titled “Proactive-reactive project scheduling with flexibility and quality requirements”.

Mario always seeks challenging and concrete experiences to gain the necessary skills and to grow personally. In his free time, he likes to put his theories and skills in risk management, optimization, and logistics to test in adventurous undertakings such as cycling touring through the Mediterranean, or long-distance kayaking on the open sea. He is a former self-trained competitive freediver, long-distance triathlete, and current marathon runner. On the softer side, he enjoys poetry and philosophy.


European Processor Initiative (EPI)

EU project for European independence in High Performance Computing Processor Technologies by developing EU processor for EU exascale machine

National Competence Centres in the Framework of EuroHPC (EuroCC)

EU project for establishment and operation of National HPC Competence Centres (NCCs) in the EuroHPC JU Participating States

Real-time monitoring and control of distributed processes

System for real-time monitoring and control of distributed processes, anomaly detection, early warning and forensic transaction analysis – Supported by The European Structural and Investment Funds (ESIF)

Optimizing and managing risks in information systems

Supported by the Croatian Ministry of Science, Education and Sports


Ph.D. Computer Science

(2010 – 2015)
University of Zagreb, Faculty of Electrical Engineering and Computing

Thesis: Proactive-reactive project scheduling with flexibility and quality requirements

Research fields: Operations research, Combinatorial Optimization, Artificial Intelligence, Approximate Dynamic Programming, Scheduling, Simulation

MSc. Computer Science

(2003 – 2008)
University of Zagreb, Faculty of Electrical Engineering and Computing

Thesis: Source code generator based on UML specifications
Research fields: Graph Theory, Expert Systems, Source Code Generation, Language Design, Software Engineering, UML

High-school: V. gymnasium, Zagreb, Croatia