Talk

Conference and seminar presentations

  • scPB: Benchmarking of cell-level perturbation effect quantification methods in single-cell multi-condition studies. Invited talk presented at JSM 2024, Portland, US (2024, Aug).
  • scPB: Benchmarking of cell-level perturbation effect quantification methods in single-cell multi-condition studies. Invited talk presented at STATGEN 2024, Pittsburg, US (2024, May).
  • Atlas-scale single-cell multi-sample multi-condition data integration using scMerge2. Talk presented at Bioconductor 2023, Boston, US (2023, August).
  • Atlas-scale data integration for single-cell meta-analysis. Invited talk presented at BIRS Single cell plus workshop, Banff, Canada (2023, July).
  • A statistical framework reveals molecular heterogeneity in response to treatment at single-cell resolution. Talk presented at ABACBS 2022, Melbourne, Australia (2022, Nov).
  • Atlas-scale data integration for single-cell meta-analysis. Talk presented at CSHL Meetings Biological Data Science 2022, New York, US (2022, Nov).
  • Statistical modelling and machine learning for single cell data harmonisation and analysis. Invited talk presented at ACT RNA Club seminar, online (2022, August).
  • Large scale single-cell multi-sample multi-condition data integration using scMerge2. Talk presented at SBRS 2022, Sydney, Australia (2022, June).
  • Large scale single-cell multi-sample multi-condition data integration using scMerge2. Talk presented at WNAR 2022, Online (2022, June).
  • Large scale single-cell multi-sample multi-condition data integration using scMerge2. Talk presented at ABACBS 2021, Online (2021, Nov).
  • scJoint: transfer learning for data integration of atlas-scale single-cell RNA-seq and ATAC-seq. Talk presented at HCA Asia meeting, Online (2021, Nov).
  • scJoint: transfer learning for data integration of atlas-scale single-cell RNA-seq and ATAC-seq. Talk presented at ISMB/ECCB 2021 Single Cell and Spatial Data Analysis workshop, Online (2021, July).
  • Data harmonization and cell type identification via statistical learning. Talk presented at 21st J.B. Douglas Awards, Sydney, Australia (2020, Dec).
  • scJoint: transfer learning for data integration of single-cell RNA-seq and ATAC-seq. Talk presented at ABACBS 2020, Online (2020, Nov).
  • Integrative analysis of breast cancer survival based on spatial features. Talk presented at the ISMB 2020 single-cell cancer genomics workshop, Online (2020, July).
  • Integrative analysis of breast cancer survival based on spatial features. Talk presented at BIRS Mathematical Frameworks for Integrative Analysis of Emerging Biological Data Types workshop, Online (2020, June).
  • Sample size estimation and multiscale classification of cells using single and multiple references. Talk presented at GIW/ABACBS 2019, Sydney, Australia (2019, Dec).
  • scClassify: Multiscale classification of single cells via cell-type hierarchies based on ensemble learning and sample size estimation. Talk presented at Ozsinglecell 2019, Melbourne, Australia (2019, July).
  • scMerge: Integration of multiple single-cell transcriptomics datasets leveraging stable expression and pseudo-replication. Talk presented at BioC Asia 2018, Melbourne, Australia (2018, Nov).
  • scMerge: Integration of multiple single-cell transcriptomics datasets leveraging stable expression and pseudo-replication. Talk presented at ABACBS2018, Melbourne, Australia (2018, Nov).
  • scMerge: Removing unwanted variation for merging multiple single cell datasets. Invited talk presented at Towards Greater Reproducibility in Medical Research Symposium, Olivia Newton-John Cancer Research Institute (ONJCRI), Melbourne, Australia. (2018, July)

Workshops

  • Advanced Phenotyping in Single Cell Data Analysis. Workshop conducted at the Laboratory of Data Discovery for Health (D²4H), The University of Hong Kong 2021, Online.
  • Hands-on experience to CiteFuse that consists of a suite of tools for the integration and the downstream analysis of CITE-seq data. Workshop conducted at 6th Bioconductor Asia Meeting 2020, Online.
  • Single-cell RNA-seq Analysis. Workshop conducted at AMSI BioInfoSummer 2019, Sydney, Australia.
  • Single-cell RNA-seq Analysis. Workshop conducted at Charles Perkins Center 2019, the University of Sydney, Sydney, Australia.
  • scMerge: Integration of multiple single-cell transcriptomics datasets leveraging stable expression and pseudo-replication. Workshop conducted at AMSI BioInfoSummer 2018, Perth, Australia.