Shila Ghazanfar
@shazanfar
Statistics PhD. Group Leader. DECRA @arc_gov_au @Sydney_Uni. Postdoc @RoyalSociety @CRUK_CI @emblebi #bioinformatics #rstats #spatialomics
ID: 2848551188
https://shazanfar.github.io/ 09-10-2014 08:57:12
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๐ EVENT: Register now to attend the 2024 wimsigAU Conference! ๐๏ธ Date: 1-2 October, 2024 ๐ Location: SydMathInst University of Sydney Take advantage of the Early Bird registration by September 2 and save! ๐ Register: mathematics.org.au/sys/pages/plaiโฆ
STD: Find out how to unlock biological secrets ๐คซ and interpret big data๐ at AMSI #BioInfoSummer2024 a three-day national hybrid conference for students, ECR's, & professionals. ๐ 3-5 Dec 2024 ๐ University of Melbourne & online ๐ @BioInfoSummer
Congratulations Boyi Guo ้ญๅ้ธ & Wodan Ling on the new arXiv.org preprint reviewing comp #methods to integrate #spatial #transcriptomics datasets across tissues & individuals ๐ Fantastic collab w/ Sang Ho (Sangho) Kwon, Pratibha Panwar, Shila Ghazanfar Keri Martinowich. Thank you all & feedback is welcome
๐จ๐๐ ๐๐๐ job opportunity UC San Francisco ๐จ: I'm hiring TWO postdocs - an experimentalist and a computational biologist. Join us to use cutting-edge single-cell and spatial technologies to unravel the mysteries of human tissues. opportunities.ucsf.edu/content/open-pโฆ
Our research leader Dr Shila Ghazanfar Shila Ghazanfar is a proud Australian Mathematical Sciences Institute (AMSI) alumni! Having first attended AMSI BioInfoSummer in 2013 as a PhD๐ฉ๐ปโ๐student, she has since returned frequently as a guest speaker. ๐ Read more about Shila's research and career: bit.ly/3M4Pmp4
Now out - WebAtlas pipeline for visualizing and processing integrated single cell and spatial transcriptomics data โฆNature Methodsโฉ โฆOmer Ali Bayraktarโฉ โฆHaniffa Labโฉ โฆShila Ghazanfarโฉ โฆHuman Cell Atlasโฉ github.com/haniffalab/webโฆ nature.com/articles/s4159โฆ
WebAtlas for visualising single cell & spatial data online is out: rdcu.be/dRsKu With Muzlifah Haniffa Tong LI ๆๅฝค Dave Horsfall+co, we aimed to open up sc/spatial data to biologists & clinicians without coding experience/infrastructure. Rambling๐งตon why this matters
Next Monday, Dr Aishwarya Bhaskaran from Macquarie University will present: A maximum penalized likelihood approach for semiparametric accelerated failure time models with time-varying covariates and partly interval censoring โฑ๏ธAugust 26, 1pm (AEST) ๐bit.ly/3DPCCP3
Next Monday, Dr Lulu Shang Lulu Shang from MD Anderson Cancer Center will present: Statistical identification of cell type-specific spatially variable genes in spatial transcriptomics โฑ๏ธSeptember 2, 1pm (AEST) ๐bit.ly/3DPCCP3
We recruiting two continuing education focused academics (lecturers/senior lecturers) one in stats and one in maths. This is in addition to the 4 outstanding EF academics we recruited in the School earlier this year! Join an excellent and growing team! usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_โฆ