Dr Amaia Irizar

Director & CEO

Amaia has 30 years’ experience within the healthcare and consumer products industries and as an independent consultant firstly in toxicology but also clinical research. She holds a Pharmacy degree from University of Navarra, and MSc and PhD in Toxicology from University of Surrey. She is a European Registered Toxicologist, UK Chartered Biologist, and a member of the US Society of Toxicology, American College of Toxicology, British Toxicology Society, European Societies of Toxicology, European Society for Toxicology In Vitro, and the American Society for Cellular and Computational Toxicology. She brings her broad experience and understanding of the biological and health sciences into the analysis and interpretation of challenges in the field that can be addressed with machine learning solutions.

Professor Dr Miroslaw Bober

Chief AI Scientist

Miroslaw has 30 years of R&D experience in industry and academia, with a strong track record of developing cutting-edge solutions in machine learning, computer vision, pattern recognition and artificial intelligence for a range of industries (consumer, healthcare, manufacturing). His recent work includes design of novel algorithms for retinopathy screening, tumour characterisation and object recognition in images and videos. He is in the top 250 data scientists globally on Kaggle and his algorithm for object recognition recently won the Google Landmark retrieval challenge.

Miroslaw is a professor at the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, UK. Previously, for 15 years he was leading the Mitsubishi Electric R&D Center Europe as the Principal Scientist and the Head of Research. He is an author of over 100 scientific publications and the inventor of over 70 patents in the areas of AI, signal processing and computer vision. He received Mitsubishi presidential awards for the Best Invention Worldwide (2009) and for his Contributions to Business (2010). Miroslaw holds an Msc in Electronics with Distinction (1990, AGH, Krakow); MSc in Machine Intelligence, with Distinction (1991, Univ. of Surrey, UK), and a PhD in Computer Vision (1995, Univ. of Surrey).

Professor Dr Zbigniew Galias

Senior Scientist/Mathematician

Zbigniew works with the AI team on problem analysis, mathematical modelling, and software implementation for data analysis.

He specialises in mathematical modelling of complex, nonlinear systems, and related software simulations for industrial applications. He authored over two hundred journal and conference papers, and edited “Intelligent Computing Based on Chaos - Studies in Computational Intelligence” (Springer-Verlag).

Zbigniew is a full professor at the Department of Electrical Engineering, AGH University of Krakow, Poland.

Mikel Bober

Senior Machine Learning Scientist

Mikel brings broad experience in the latest state-of-art AI technologies, related software tools, and their application to practical problems contribute to software development, running simulations, and data analysis tasks.

Mikel is a MEng in Computer Science from University of Cambridge, the youngest Kaggle grandmaster, and ranked in the top 50 data scientists worldwide on Kaggle. He has won numerous international data science competitions and developed systems for diverse tasks from autonomous driving to deep learning for transcribing classical Japanese literature.

Jan Bober

Biomedical AI Scientist

Jan brings a broad understanding of the biological and medical perspective to AI applications, offering valuable insights for dataset preparation and strategic planning. He is particularly interested in leveraging AI for data-driven healthcare, predictive modeling, and computational biology. He will also contribute to software development, running simulations, and data analysis tasks.

Jan holds an MEng in Artificial Intelligence and BEng in Biomedical Engineering from Tecnun, Universidad de Navarra.