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About me

Christian's Twitter -- Follow him for latest news regarding Artificial Intelligence, Machine Learning, Natural Language Understanding, and AI and Ethics.

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. At BT, IBM, HP, 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 and Health Care inovation. 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, Chief AI and Data Scientist, Tieto, Stockholm, Sweden
2016 - Executive Founding Director of the Nordic Artificial Intelligence Institute, Stockholm, Sweden
2014 - Adj. Associate Professor, University of New South Wales, Australia
2014 - Ank. Forskare, Karolinska Institutet, Stockholm, Sweden
2016 - Director of Artificial Intelligence and Data Science, HealthiHabits, 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 Data Science and Machine Learning projects at leading global companies and universities.


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)

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


  • 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

Academic honours, awards and prizes

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)