Welcome to the Shim Lab. My group develops statistical methods and computational tools for applications to a wide range of biological questions. Much of our research has focused on statistical methods for analyses of complex and large-scale genomic data, aiming to better understand the cellular-level processes underlying the link between genetic variants and important organism-level traits. Please see Research for more information on multiple projects, including:
- Multi-scale (e.g., wavelets) methods for analyses of functional data, including functional phenotypes arising from high-throughput sequencing assays.
- Genome-wide association analysis of complex traits.
- Inference of transcription factor binding and motif finding.
- Analysis of ribosome profiling data to better understand translation.
- Alternative splicing.
In particular, we prefer to develop methods and analyze data in close communication with biologists so that the key biological questions and unique data properties are properly addressed in the statistical approaches. We are also interested in cultivating a culture of interdisciplinary collaboration in our research community.
We are always looking for highly motivated group members. We are based in the Melbourne Integrative Genomics (MIG) and the School of Mathematics and Statistics at the University of Melbourne. We share our space with other groups in the Melbourne Integrative Genomics (MIG), and we interact with members from other groups continuously. Please feel free to contact Heejung Shim if you are interested in joining us or having a rotation.
- Undergraduate and Master students: Feel free to contact Heejung Shim to discuss potential undergraduate, honours, or Master research projects.
- PhD students: Please read general information for future students, and contact Heejung Shim to discuss potential projects and scholarships.
- Postdocs: We are happy to host postdoc fellows and support applications. Please contact Heejung Shim if you’d like to discuss potential projects and fellowships.