Christian Guttmann, Top AI Leader, Artificial Intelligence, AI, Machine Learning, Analytics, Data Science, Professor, Sweden, Europe

Christian Guttmann

Affiliated to research

For 20+ years, Dr. Guttmann's research is on Artificial Intelligence and Machine Learning, and through entrepreneurship and innovation, he contributes to positive societal and economic impact.

About me

Christian was recently named Top 100 Global AI leader by DKA. And he is Professor (Adj. Assoc., UNSW).

Follow Christian's Linkedin and Twitter to be updated on the latest news regarding Artificial Intelligence, Machine Learning, Natural Language Understanding, and AI Ethics.

My Schedule for Invited Speaker and Panel Engagements 2020

Previous Schedule and Invited Speaker (Selected)

Current Organising and Program committee (Selected)

Adj. Assoc. Professor Christian Guttmann (UNSW) has a deep interest and expertise in Artificial Intelligence, Machine Learning, Data Science, Big Data and Analytics in Health and Medicine. He is an entrepreneurially driven and experienced technology leader with strong research and communication skills. With the British Telecom, IBM, Hewlett Packard, successful startups and university projects, he led innovation teams using artificial intelligence, data science, machine learning, social/mobile/IoT technology in health and medicine. He creates high-impact systems, patents and scientific publications, and is in international steering and program committees of leading conferences in Artificial Intelligence. He enjoys working in great teams and partnerships.

  • Interested in knowing more about artificial intelligence, machine learning, big data and analytics in digital health and medicine? 
  • Interested in supervision at a master or doctoral level?

Contact and

Relevant Experience (Selected)

  • 2018 - VP, Global Head of Artificial Intelligence, Chief AI and Data Officer, TietoEVRY, Stockholm, Sweden
  • 2016 - Executive Founding Director of the Nordic Artificial Intelligence Institute, Stockholm, Sweden
  • 2014 - Professor (Adj. Associate), University of New South Wales, Australia
  • 2014 - Ank. Forskare, Karolinska Institutet, Stockholm, Sweden
  • 2016 - CEO/Founder, HealthiHabits (Artificial Intelligence), Stockholm, Sweden
  • 2014 - 2016 Senior Analyst och Project Lead, IVBAR, Stockholm, Sweden
  • 2012 - 2014 Area Lead in Health Care Analytics, IBM Research, Australia
  • 2010 - 2012 Senior Researcher and Theme Leader iCare, Etisalat British Telecom Innovation Centre, UAE

Prior to these engagement, Dr. Guttmann worked in many advanced AI, Data Science and Machine Learning projects at leading global companies and universities.

Research description

Deep interest and experience in basic and applied investigations in digital health and medicine, including 

  • Artificial Intelligence, Machine Learning, Advanced and Predictive Analytics, Big Data, Data Science 
  • Social, Mobile and Wearable Technologies 
  • Digital Health, Health Technology, Medtech and Biotech 
  • Value Based Care Models, Integrated Care  and Chronic Desease Management

20 years of dedicated scientific and industrial leadership in Artificial Intelligence, Health and Medicine.

Teaching portfolio


  • Feb 2020 Vlerick Business School, Belgium 
  • Feb 2019 Vlerick Business School, Belgium 
  • Apr 2018 "How Artificial Intelligence and Machine Learning Disrupts Businesses", Stockholm School of Economics, Stockholm
  • Nov 2016 EDX course on "Big Data and Analytics in Health", Karolinska Institutet, Stockholm, Sweden


  • 2003 - 2008 PhD in Distributed Artificial Intelligence (Monash University, Australia)
  • 1998 - 2001 Master of Science (Royal Institutet of Technology, Sweden)
  • 1996 - 2001 Diplom Informatiker (University Paderborn, Germany)
  • 1998 - 2001 Bachelor (Psychology) (Stockholm University, Sweden)


Academic honours, awards and prizes

  • 2019   Top 100 Global AI leader by DKA.
  • 2014   Invention Achievement Award (IBM) -- "Patent in Data Science and Analytics"
  • 2010   Competitive Fellowship award by Australian Academy of Science (AAS)
  • 1999   MSc Award for best Master’s Thesis (Swedish Artificial Intelligence Society)