Senior Reseacher in Machine Learning, Data61

Hanna Suominen (PhD, MSc) works as a senior researcher in machine learning at NICTA and holds an adjunct research fellowship in The Australian National University, College of Engineering and Computer Science and professional associateship in the University of Canberra, Faculty of Health. She develops and evaluates machine-learning methods for health and human language. This has led to smart sensor-technologies for the Australian Institute of Sports and intelligent search-engines and decision-support tools for the Hospital District of Southwest Finland. She has scored 2 best paper and 1 best business-plan award; within the top teams in challenges for health language technologies, 10% of the field internationally for her PhD, and 15% in L’Oréal AU&NZ Women in Science; and grants. She has approximately 50 peer-reviewed papers with 60 co-authors from 10 counties, including Karolinska Institutet University, Max Blank Institute, and Harvard University. Her visits include Microsoft Research Cambridge and Austrian Institute of Technology. Her lecturing has been graded as excellent. She is an assistant editor for Artif Intell Med; reviewer for Int J Med Inform and J Biomed Inform; and co-chair for CLEFeHealth, among others.

Experience

  • 2012–present
    Senior Researcher, NICTA
  • 2010–present
    Adjunct Research Fellow, The Australian National University
  • 2013–present
    Professional Associate, University of Canberra
  • 2010–2012
    Researcher, NICTA

Education

  • 2009 
    University of Turku, PhD/ computer science
  • 2005 
    University of Turku, MSc/ applied mathematics

Research Areas

  • Knowledge Representation And Machine Learning (170203)
  • Health Informatics (080702)
  • Natural Language Processing (080107)
  • Computational Linguistics (200402)