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.