 Hanna Suominen, PhD, is an experienced researcher, coordinator and teacher on health and wellness technologies. Her research interests are related to developing and evaluating methods and applications of machine learning, mathematical modeling, and human language technologies. Her collaborative research has lead to real-life applications for health and wellness. She has contributed to numerous successful research, commercialisation and teaching projects with academic, industrial, and governmental partners in Australia and Europe. Her merits also include several collaborative and personal research and commercialisation grants. She has approximately 35 scientific, peer-reviewed publications, two best paper awarded contributions, and a membership in the team that scored the third prize in the International Medical Natural Language Processing Challenge 2007. Her doctoral dissertation on machine learning and clinical text was approved with honours of belonging to the ten percent elite of the field internationally. Currently, Hanna works as a machine learning researcher at NICTA, Australia’s largest organisation dedicated to information and communication technologies (ICT) research, and holds an adjunct research fellowship in the Australian National University, College of Engineering and Computer Science. |
