Background

Iannis is a Data Science professional with nearly two decades of experience driving digital transformation by leveraging Artificial Intelligence and Cloud solutions to revolutionize Research & Development in Life Sciences. He has successfully led AI integration efforts across pharmaceutical, biotech, and public institutions, adeptly navigating complex change management processes during periods of high uncertainty. Iannis has built multiple high-performing teams and programmes, operationalized data and analytics at scale, and delivered first-in-class AI products. His work consistently translates into improved patient outcomes and measurable business growth. Coming from academia, Iannis has developed deep expertise in the pharmaceutical industry, having served as Head of Data Engineering (Novo Nordisk), Head of Data Science (Lundbeck), member of EFPIA, EMA, and FDA working groups, and Public-Private Partnership (PPP) lead with Pfizer, J&J, Bayer, and AZ. Iannis’ work also includes collaborations with biotech companies (Illumina, Beckman Coulter, BD Biosciences) on software solutions, advancement of Data Science and AI in public institutions (the Danish National Vision for Personalized Medicine, European Society for Clinical Cell Analysis, Sorbonne University, University of Patras), and recognized contributions to open-source communities (EHDEN, OHDSI, i2b2–tranSMART, FHIR, OBO). In his current role as Chief AI Officer at GENerX.life, Iannis continues to provide strategic advisory to pharmaceutical, biotech, and public organizations on data, AI, and digital transformation initiatives, gaining unique insights from Europe, the USA, and Asia. Iannis holds a PhD in Artificial Intelligence in Medicine and has more than 20 peer-reviewed publications and book chapters.

Motivation

The Danish Data Science Academy is one of the networks that makes Denmark, and Data Science in Denmark, unique. DDSA brings together academia, the public sector, industry, and individuals to exchange ideas, share knowledge, discuss trends, and collaboratively shape the future of Data Science. Participating in DDSA activities is both rewarding and enjoyable.

Skills, expertise, and interests

• • forming sustainable habits
  • entrepreneurship and startups
  • digitalisation
  • life science
  • bioinformatics
  • academic writing skills
  • end-to-end implementation
  • mental health and well-being
  • teamwork
  • health and medical science
  • strategy
  • high-performance computing
  • computational science
  • leadership
  • cloud computing
  • project management
  • PhD advice
  • data management
  • big data
  • MLOps
  • artificial intelligence
  • deep learning
  • machine learning
  • data science