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X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science Network
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TZID:Australia/Brisbane
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20260909T120000
DTEND;TZID=Australia/Brisbane:20260909T140000
DTSTAMP:20260804T020207Z
CREATED:20260804T020115Z
LAST-MODIFIED:20260804T020207Z
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SUMMARY:SSA Biostatistics & Bioinformatics Section Webinar: Modelling spatial transcriptomics: from flexible cell-type deconvolution to multi-scale spatial factor analysis
DESCRIPTION:The Biostatistics & Bioinformatics section of the Statistical Society of Australia invites members to a  presentation titled “Modelling spatial transcriptomics: from flexible cell-type deconvolution to multi-scale spatial factor analysis” delivered by A/Professor Heejung Shim\, University of Sydney. \nDate: Wednesday 9 September 2026 \nTime: 12:00 pm (AEST) \nFormat: Online via Zoom. Details provided upon registration \nAbstract: Modelling spatial transcriptomics: from flexible cell-type deconvolution to multi-scale spatial factor analysis \nSpatial transcriptomics enables the study of gene expression within its spatial context\, but introduces key statistical challenges\, including mixed cellular composition and complex spatial structure. In this talk\, I present two complementary modelling approaches. First\, I introduce FlexiDeconv\, a cell-type deconvolution method based on a modified Latent Dirichlet Allocation framework. A key feature of this method is its flexible use of reference information\, allowing the model to balance prior information from scRNA-seq with signals from observed spatial data\, and to adapt when the reference is incomplete or mismatched\, a common challenge in practice. I then present WaveFactor\, a wavelet-based Bayesian sparse factor model that captures spatial gene expression patterns across multiple spatial scales\, enabling the detection of both fine and broad spatial patterns. In addition\, WaveFactor can incorporate gene-set information to guide factor inference\, while allowing for uncertainty and potential errors in these annotations. Together\, these methods illustrate how flexible modelling of prior information and multi-scale modelling of spatial structure can improve our ability to extract biologically meaningful signals from spatial transcriptomics data. \nPresenter Bio: A/Professor Heejung Shim\, University of Sydney. \n \nA/Professor Heejung Shim is an applied statistician with a focus on statistical bioinformatics and an Associate Professor at the University of Sydney. Her research develops statistical and computational methods for multi-omics data analysis. She is currently extending her research into bioinformatics for drug discovery and therapeutic development. She completed a BSc in Mathematics\, with a double major in Computer Science and Engineering\, at POSTECH in Korea\, and a PhD in Statistics at the University of Wisconsin-Madison in US\, followed by postdoctoral training at the University of Chicago. Before joining the University of Sydney\, she was a Group Leader at Melbourne Integrative Genomics and the School of Mathematics and Statistics at the University of Melbourne\, and a Chief Investigator at the ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems. Prior to relocating to Australia\, she was a tenure-track Assistant Professor in the Department of Statistics at Purdue University. \nFor further information\, please contact  Alberto Nettel Aguirre at anettela@alumni.ucalgary.ca 
URL:https://australiandatascience.net/event/ssa-biostatistics-bioinformatics-section-webinar-modelling-spatial-transcriptomics-from-flexible-cell-type-deconvolution-to-multi-scale-spatial-factor-analysis/
LOCATION:QLD
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20260926T080000
DTEND;TZID=Australia/Brisbane:20260926T160000
DTSTAMP:20260715T010428Z
CREATED:20260715T010428Z
LAST-MODIFIED:20260715T010428Z
UID:6242-1790409600-1790438400@australiandatascience.net
SUMMARY:Upcoming paediatric datathon in September 2026
DESCRIPTION:  \nPaediatric datathon in September alongside the World Federation of Pediatric Intensive & Critical Care Societies (WFPICCS) Conference and the ANZICS Annual Scientific Meeting. This event is free to attend. \nPlease find attached the advert for you to circulate (or forward via your social channels) if any data science\, IT or analytics majors interested in registering. \nThe Datathon is titled Small Patients\, Big Data: A Global Pediatric Critical Care Datathon and will be held on Saturday 26th September 2026 from 8am to 4pm. Participants will have access to de-identified datasets from Argentina\, America\, Australia\, and Aotearoa New Zealand. \nURL to register is here. \nMore about the datathon can be found here
URL:https://australiandatascience.net/event/upcoming-paediatric-datathon-in-september-2026/
LOCATION:QLD
CATEGORIES:Event,Online workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261125
DTEND;VALUE=DATE:20261128
DTSTAMP:20260806T233313Z
CREATED:20260807T020116Z
LAST-MODIFIED:20260806T233313Z
UID:6201-1795647600-1795820399@australiandatascience.net
SUMMARY:ADSN Conference 2026
DESCRIPTION:The Australian Data Science Network Conference 2026 will be held on 26–27 November 2026 at Australian Bureau of Statistics House in Canberra. With the theme From Data to Decisions\, the conference will showcase how data science drives informed decision-making\, influences policy\, and creates real-world impact. Bringing together researchers\, industry professionals\, government representatives\, and students\, the event offers opportunities to share innovative research\, exchange ideas\, and build collaborations across Australia’s data science community. Registration includes the conference social event\, and attendees are encouraged to bring their own lanyards to help reduce waste.
URL:https://australiandatascience.net/event/adsn-conference-2026/
LOCATION:ABS House\, Canberra\, 45 Benjamin Way\, Canberra\, ACT\, 2617\, Australia
CATEGORIES:Conference
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261130
DTEND;VALUE=DATE:20261205
DTSTAMP:20260715T010519Z
CREATED:20260701T051755Z
LAST-MODIFIED:20260715T010519Z
UID:6220-1795996800-1796428799@australiandatascience.net
SUMMARY:Australasian Applied Statistics Conference 2026
DESCRIPTION:The Australasian Applied Statistics Conference 2026 (AASC2026) will be held from 30 November – 4 December 2026 at Mantra Mooloolaba Beach on Queensland’s Sunshine Coast. Bringing together students\, researchers\, industry professionals\, and data science practitioners\, the conference focuses on real-world applications of statistics and data science. AASC2026 offers an engaging program of presentations\, discussions\, and networking opportunities designed to foster collaboration\, knowledge sharing\, and innovation within the applied statistics and data science community. \nRegistration:  https://aasc2026.netlify.app/registration
URL:https://australiandatascience.net/event/australasian-applied-statistics-conference-2026/
LOCATION:Mantra Mooloolaba Beach\, QLD\, Esplanade\, Mantra Mooloolaba Beach\, QLD\, Australia
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20270111
DTEND;VALUE=DATE:20270206
DTSTAMP:20260806T232818Z
CREATED:20260806T232818Z
LAST-MODIFIED:20260806T232818Z
UID:6263-1799625600-1801871999@australiandatascience.net
SUMMARY:AMSI Summer School 2027
DESCRIPTION:Join us at UNSW Sydney from 11 January – 5 February for the 25th edition of AMSI Summer School. Aimed at honours and postgrad students\, early career researchers and professionals in the mathematical sciences\, the event will help develop skills and expand professional networks across four jam-packed weeks of classes and activities. \nSubjects for 2027 have been announced! Choose up to two subjects\, and with approval from your home university\, take one for academic credit. Applications open next week. \nSubjects – Summer School 2027
URL:https://australiandatascience.net/event/amsi-summer-school-2027/
LOCATION:UNSW\, Australia
CATEGORIES:Event
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