Last updated: 2025-02-27
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Knit directory: analysis-user-group/
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Rmd | c05aafe | DrThomasOneil | 2025-02-27 | wflow_publish(c("analysis/*.Rmd")) |
html | c7f5738 | DrThomasOneil | 2025-02-24 | Build site. |
html | 79d09b1 | DrThomasOneil | 2025-02-24 | Build site. |
html | a5c9f2c | DrThomasOneil | 2025-02-24 | Build site. |
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html | 1aeefc7 | DrThomasOneil | 2025-02-20 | Build site. |
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html | 5ef4f12 | DrThomasOneil | 2025-02-11 | Build site. |
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Rmd | 272b312 | DrThomasOneil | 2025-01-28 | wflow_publish(c("analysis/*")) |
html | 023005d | DrThomasOneil | 2025-01-07 | Build site. |
Rmd | 0ecb65d | DrThomasOneil | 2025-01-07 | Updated Getting Started in R. Chapter 1 completed |
html | c893d70 | DrThomasOneil | 2025-01-06 | Build site. |
Rmd | 8eec2ce | DrThomasOneil | 2025-01-06 | Initial Deployment |
html | 660b0f8 | DrThomasOneil | 2025-01-06 | Build site. |
Rmd | 7cb1531 | DrThomasOneil | 2025-01-06 | Initial Deployment |
html | 2e79a1d | DrThomasOneil | 2025-01-06 | Build site. |
Rmd | 451a21f | DrThomasOneil | 2025-01-06 | Initial Deployment |
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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 and am now a post-doc in the same lab. 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. Specifically, I’ve been involved in identifying rare immune cell subsets and defining their roles in initial HIV infection. Recently, I’ve been developing and applying bioinformatic methods to investigate immune cells in inflamed and uninflamed human tissues using spatial technologies (IMC, Xenium & Visium). |
Secretary
![]() Harry Robertson PhD Candidate
Harry Robertson is a research student and aspiring bioinformatician at
WIMR who was recently awarded a Fulbright Future Scholarship
(Postgraduate) hosted by Harvard University. His Fulbright research
focuses on identifying biomarkers for organ transplant health using
advanced imaging techniques. Unlike traditional biomarkers, which often
require expensive sequencing and are inaccessible to many, Harry’s
innovative approach leverages machine learning to analyse imaging data,
aiming to develop a universally available, non-invasive diagnostic tool
for transplant recipients.
Harry envisions a future where healthcare decisions are informed by comprehensive patient data: ‘my goal is to make this vision a reality by developing accessible biomarkers for organ transplant health.’ |
|
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_4.5.0.1 jsonlite_1.8.9 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_2.5.1
[17] generics_0.1.3 knitr_1.49 tibble_3.2.1 rprojroot_2.0.4
[21] tzdb_0.4.0 bslib_0.9.0 pillar_1.10.1 rlang_1.1.5
[25] cachem_1.1.0 stringi_1.8.4 httpuv_1.6.15 xfun_0.50
[29] getPass_0.2-4 fs_1.6.5 sass_0.4.9 bit64_4.6.0-1
[33] cli_3.6.3 magrittr_2.0.3 ps_1.8.1 digest_0.6.37
[37] processx_3.8.4 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