Skip to main content

Lianhua (Lina) Chi, PhD


Visiting Scholar in Biomedical Informatics

Lina was a Visiting Scholar in the lab of Nils Gehlenborg at Harvard Medical School. She is currently a lecturer in the Department of Computer Science and Information Technology at La Trobe University, Australia. She completed her dual Ph.D. in Machine Learning and Data Mining at 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 Health. Before she joined IBM Research Australia, she was a Data Specialist at University of New South Wales (UNSW) and a Visiting Researcher at University of Technology Sydney (UTS). Her main research interest is in making sense of big data with effective, agile and interactive data analytics, especially in Health Care area. Currently, she is working on AI in Precision Medicine. She has received several awards due to her research contribution, such as “Best Paper Award in PAKDD 2013”, “Top 200 Young Researchers Globally by HLF 2016”, “Young Global Changer by T20/G20 Germany”, “IBM External Honors” and “Romberg Grant Award”. She has published more than 20 Research papers in International Conferences and Journals and also filed 3 patents in these or related areas.