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Committee
Chair
![]() Thomas O’Neil PostDoc
thomas.oneil@sydney.edu.au
I have been with the Mucosal Immunity lab at WIMR since my honours year in 2018. I completed my PhD in 2023. Initially, my studies involved characterising anogenital T cells by flow cytometry, but having learned analytic programming during COVID, I now study all aspects of human tissue immunology via high-parameter proteomic and transcriptomic bioinformatic approaches. |
Secretary
![]() Harry Robertson PhD Candidate
harry.robertson@sydney.edu.au
I am a research student and aspiring bioinformatician at WIMR who was recently awarded a Fulbright Future Scholarship (Postgraduate) hosted by Harvard University. my reent focus has been on identifying biomarkers for organ transplant health using advanced imaging techniques. My approach leverages machine learning to analyse imaging data, aiming to develop a universally available, non-invasive diagnostic tool for transplant recipients. |
|
Events
Coordinator
![]() Sifan Zhang PhD Candidate
sifan.zhang@sydney.edu.au
I am currently a PhD candidate in vaccine adjuvant group in WIMR. I have previous experience in scRNA sequencing and high-parameter flow cytometry, and I am investigating adjuvant modes of action using spatial transcriptomics (Xenium). |
Content
Coordinator
![]() Yuchen Li PhD Candidate
yuli0321@uni.sydney.edu.au
I am a PhD candidate at WIMR. Following on from Honours, my research focus is characterising human anogenital tissue CD4 T cells and their susceptibility to HIV. I aim to determine the initial establishment of HIV latency within anogenital tissues using both wet-lab experimental models and verification, and machine learning-aid computational analysis. |
|
Level 5
Representative
![]() Jennifer Li Group Leader
jennifer.li@wimr.org.au
I am a Nephrologist and Transplant Physician at Westmead hospital and researcher in the Transplant Genomics Group at WIMR. |
||
R version 4.4.0 (2024-04-24)
Platform: aarch64-apple-darwin20
Running under: macOS Sonoma 14.3
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRlapack.dylib; LAPACK version 3.12.0
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
time zone: Australia/Sydney
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] readr_2.1.5 dplyr_1.1.4 workflowr_1.7.1
loaded via a namespace (and not attached):
[1] bit_4.6.0 jsonlite_1.9.1 crayon_1.5.3 compiler_4.4.0
[5] promises_1.3.2 tidyselect_1.2.1 Rcpp_1.0.14 stringr_1.5.1
[9] git2r_0.35.0 parallel_4.4.0 callr_3.7.6 later_1.4.1
[13] jquerylib_0.1.4 yaml_2.3.10 fastmap_1.2.0 R6_2.6.1
[17] generics_0.1.3 knitr_1.50 tibble_3.2.1 rprojroot_2.0.4
[21] tzdb_0.5.0 bslib_0.9.0 pillar_1.10.1 rlang_1.1.6
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[29] getPass_0.2-4 fs_1.6.5 sass_0.4.9 bit64_4.6.0-1
[33] cli_3.6.4 magrittr_2.0.3 ps_1.9.0 digest_0.6.37
[37] processx_3.8.6 vroom_1.6.5 rstudioapi_0.17.1 hms_1.1.3
[41] lifecycle_1.0.4 vctrs_0.6.5 evaluate_1.0.3 glue_1.8.0
[45] whisker_0.4.1 rmarkdown_2.29 httr_1.4.7 tools_4.4.0
[49] pkgconfig_2.0.3 htmltools_0.5.8.1