Ning Liu

Dr Ning Liu

Postdoctoral Research Fellow

South Australian Immunogenomics Cancer Institute

Faculty of Health and Medical Sciences

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

I am a trained bioinformatician/computational biologist at the University of Adelaide with experiences in epigenetics and transcriptomics, specialised in computational method development and next-generation sequencing (NGS) data analysis, including ChIP-seq, ATAC-seq, Hi-C, RNA-seq, single cell RNA-seq and spatial transcriptomics data.
I am currently a senior postdoctoral researcher in the Polo group at South Australian immunoGENomics Cancer Institute (SAiGENCI), Adelaide Medical School, and my research aims to develop computational tools and methods to assist the investigation of the human genome in the context of transcriptomics and epigenetics.

My research aims to develop novel computational tools and methods to study the human genome in the context of transcriptomics and epigenomics. Particularly, I'm currently maintaining three Bioconductor software packages: standR, hoodscanR and scider. 

The standR package

 The standR package provides a series of functions to assist different stages of the analysis   of spatial transcriptomics data generated from the GeoMX DSP platforms, a widely-used   spatial transcriptomics/proteomics technology developed by the Nanostring company.




The hoodscanR packageThe hoodscanR package provides a novel algorithm for celluar neighborhood detection, allowing user to accurately identify neighborhoods and perform in-depth neighborhood-based analyses with spatial transcriptomics data at single-cell resolution.





The scider packageThe scider package offers functions to model the global density of cells in a slide of spatial transcriptomics data, allowing researches to perform statistical analyses in a density context for spatial transcriptomics data.




I'm also interested in using machine learning and deep learning models in analysing epigenetics and transcriptomics data in the context of developmental biology. In particular, cell fate prediction, gene regulatory network inference, epigenetic state prediction and etc.

I have a strong emphasis on identifying novel biological insights that can translate to medical applications including diagnostics and treatment.


Funding Organization

Chief Investigators



MRF2031100 METASPATIAL Study: Metabolic Spatial Analysis of Lung Cancer study

Medical Research Future Fund (MRFF)

Dr. Arutha Kulasinghe

Dr. Dharmesh D Bhuva

Dr. Amelia Parker

Prof. Gabrielle Belz

Prof. Melissa Davis

Dr. Sophie Curio

Dr. Chin Wee Tan

Dr. Mark Adams

Dr. Ning Liu

Dr. Qiutong Huang

Prof. Ken O’Byrne

Prof. Brett Hughes

Dr. Jenny Gunter

Dr. Charles Bidgood

A/Prof. Haitham Tuffaha


$ 1,999,650

Australian Bioinformatics and Computational Biology Society (ABACBS) – Best poster talk


Ning Liu


$ 500

ABACBS travel grant

Illumina, Inc.

Ning Liu


$ 500

ABACBS travel grant


Ning Liu


$ 500

EMBL Australia PhD Course

EMBL Australia

Ning Liu


$ 5000

Adelaide Graduate Research Scholarship

The University of Adelaide

Ning Liu


$ 150,000 fee waiver + 24,000 stipend p.a.

  • Course designer and lecturer of undergraduate course Science Process and Practice in 2024, Haide College, Ocean University of China and the University of Adelaide.
  • Course workshop designer and instructor of postgraduate course Genomics Applications (BIOINF 7150) in 2020, University of Adelaide.
  • Workshop tutor of postgraduate course Bioinformatics and Systems Modelling (BIOTECH 7005) in 2018, University of Adelaide.
  • Position: Postdoctoral Research Fellow
  • Email:
  • Campus: West End Health Precinct
  • Building: AHMS - Adelaide Health and Medical Sciences, floor Ninth Floor
  • Org Unit: South Australian Immunogenomics Cancer Institute

Connect With Me
External Profiles