AI2FUTURE 2026

Stefan Martinić is an attorney with years of experience in leading Zagreb law firms, specializing in corporate law, European Union law, and technology law (including GDPR, artificial intelligence, intellectual property, etc.). He has held all positions—from trainee to partner—before establishing his own law office.

He gained his education and experience at some of the world’s leading institutions: he earned an LL.M. from the London School of Economics (EU Law & Tech Law) and Harvard Law School (Cyberlaw), participated in an exchange program at Université Paris Panthéon-Sorbonne, obtained the CIPP/E certification and an AI certification from Saïd Business School (Oxford), and completed internships at the Court of Justice of the EU and the European Parliament.

He is a member of the working group of the Ministry of Justice, Public Administration and Digital Transformation of the Republic of Croatia for drafting the national law implementing the AI Act.

Ivan Vican is a Staff Machine Learning Engineer at Muse Group, the company behind MuseScore, Audacity and Ultimate Guitar, where he develops advanced audio models for millions of musicians, most recently an audio-to-score system now in production in MuseScore. Before that he spent three years at Aiva Technologies, one of the earliest companies working on generative music, where he developed a best-in-class neural audio codec that became the foundation of their music generation models. Over the course of his career he has consulted for Fortune 500 companies, led AI teams, and developed dozens of deployed machine learning and signal processing solutions across music, healthcare, agriculture and consumer electronics. Ivan holds a PhD in audio machine learning, is a co-inventor on six patents in audio technology, and has authored scientific publications on audio, acoustics and biomedical signal processing.

Attorney at law Kristijan Galić finished his law studies at the University of Zagreb in 2017, after which he has been employed as a trainee lawyer, acquiring extensive experience across almost all legal branches, excelling particularly in the criminal law, constitutional law and civil law.

In 2021, he passes the bar exam before the Ministry of Justice and Administration of the Republic of Croatia, after which has been registered as the Attorney at law in the Croatian Bar Association. In 2022, he passes the bankruptcy trustee exam before the Ministry of Justice and Administration of the Republic of Croatia and obtains a certificate for the public procurement specialist before the Ministry of Economy and Sustainable Development of the Republic of Croatia.

In 2023, together with Attorney at law Marko Martinković, he is founding the law firm Galić i Martinković j.t.d., continuing to provide comprehensive legal services to both domestic and foreign clients.

Desislava Sarbinovska is the co-founder of Service Design Digital, an international agency specializing in service design, digital transformation, and responsible AI. She works with global organizations to redesign services, transform business models, and turn emerging technologies into meaningful business and social impact.

With 15 years of experience in the IT industry and a strong background in financial services, education, and digital innovation, Desislava combines strategic leadership with deep design expertise. She holds an Executive MBA from IEDC-Bled School of Management (Slovenia) and a specialization in Service Design for Innovation from IED Design School (Barcelona).

Jelena Lončar has more than five years of experience in the research and development of innovative AI-based solutions. She is currently a Machine Learning Research Engineer at Atomic Intelligence, where her work on the CopyDat–Synthetic Data project focuses on novel methods for generating high-quality synthetic tabular data from sensitive and complex datasets. The project aims to enable safer data use and sharing while preserving the original data's statistical and analytical value. Previously, she worked as a consultant on ADAS systems, developing and optimizing production Computer Vision algorithms for the real-time detection and tracking of vulnerable road users.

Filip Mirković has more than three years of experience in the research, development, and deployment of production-grade deep learning systems. He is currently a Machine Learning Research Engineer at Atomic Intelligence, where he works on the CopyDat–Synthetic Data project, developing novel methods for generating high-quality synthetic tabular data from sensitive and complex datasets. The project aims to enable safer data use and sharing while preserving the statistical and analytical value of the original data, combining prior-data fitted networks (PFNs), variational autoencoders, and flow matching with methods for quantifying privacy risk. His work also extends to AI for music and biomedicine, including deep learning models for audio source separation and predictive models fusing peptidomic biomarkers with prostate MRI segmentation to support prostate cancer detection. He holds an MSc in Physics from the University of Zagreb, with a thesis on symmetry-aware graph neural network frameworks for modeling complex systems.

Dr Paul Duncan is a Principal Scientist at the UK’s National Physical Laboratory (NPL), where he leads the Informatics group within the Data Science & AI department. With a background in data modelling and uncertainty evaluation, his work focuses on developing data quality frameworks and methodologies for understanding uncertainty in complex, interconnected systems. Dr Duncan is the Technical Lead (2022-present) for NPL’s involvement in the AI Standards Hub, where he plays a key role in shaping national and international approaches to Trustworthy AI and related standards. Dr Duncan is currently the co-chair of the BIPM Task Group on Data Quality & FAIR Practices in Metrology which aims to standardise approaches to Data quality across the world of metrology. His current research explores how metrology can underpin the development of reliable, transparent, and accountable AI systems. He is actively involved in cross-disciplinary projects that span data science, semantic technologies, and AI governance, and frequently collaborates with government, academia, and industry to advance confidence in the use of AI.

Irja Straus leads testing for embedded software and electronic components at Jungheinrich Croatia, and is the founder of a consulting company specializing in quality engineering and testing. She began her career as a software tester and business analyst, later moving into a product manager role. After several years in product, she took on the challenge of establishing testing practices and embedding quality from the earliest stages of development. For the past few years, she has focused on contemporary exploratory testing, building quality engineering strategy and effective cross-team collaboration.