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Lianhua Chi is a lecturer in the Department of Computer Science and Information Technology at La Trobe University, Australia. In 2018, as an invited visiting scholar, she visited Harvard Medical School for two months. She completed her dual Ph.D. in Machine Learning and Data Mining at the University of Technology Sydney (UTS), Australia, and Huazhong University of Science and Technology (HUST), China in 2015. She joined La Trobe after almost three years at IBM Research Australia where she was working as a Postdoc on Watson Education and Health. Her main research interest is in making sense of big data with effective, agile, and interactive data analytics, especially in the Health Care area. She has received several awards due to her research contribution, such as the ``Best Paper Award``, ``Top 200 Young Researchers Globally``, “Young Global Changer”, ``IBM External Honors`` and “Romberg Grant Award”. She has published more than 30 Research papers in International Conferences and Journals and also filed 3 patents in these or related areas.