Dr Heejung Shim is a group leader at Melbourne Integrative Genomics and a senior lecturer in statistical genomics at the University of Melbourne. Her broad research interests include statistical genomics, Bayesian/computational statistics, and bioinformatics. Much of her research has focused on the development of statistical/machine learning methods for analysis of complex and large-scale genomics data to tackle biological questions, particularly for understanding gene regulatory mechanisms. She completed her PhD in Statistics from the University of Wisconsin at Madison and did a postdoc at the University of Chicago. Previous to her position in Melbourne, she was an Assistant Professor in the Department of Statistics at Purdue University.