Cloud Computing seminars

Peter Meikle, Bernie Pope and Tingting Wang present the Australian Cardiovascular disease Data Commons (ACDC). Some heart attacks occur without established risk factors, and repeat events remain common despite optimal treatment. ACDC addresses this gap by securely pooling multi-omics, imaging and longitudinal outcomes from approximately 400,000 people in 18 Australian cohorts. The webinar explains cloud infrastructure, data harmonisation and federated standards based on Gen3; how integrated genomic, multi-omics and imaging cohorts support new risk markers and polygenic risk-score testing; and how the platform can move diagnostic research towards clinical practice. Meikle and Wang are at the Baker Heart and Diabetes Institute; Pope is at Australian BioCommons. Online via Zoom. Wednesday 30 September 2026, 12:00–13:00 AEST (Australia/Melbourne; UTC+10). Free, with advance registration through the official event page. Intended for life scientists, bioinformaticians, cardiovascular clinicians, data custodians and medical data scientists. Parts may be recorded; the Australian BioCommons Code of Conduct applies. Organized by Australian BioCommons.

Vasileios Kalantzis develops iterative linear algebra algorithms that tolerate incomplete matrix-vector products in controller-worker cloud systems. Richardson and Chebyshev schemes solve linear systems using randomly available product entries, replacing missing entries with zero. For dominant eigenvectors, modified power iterations substitute zeros, previous entries, or averages of partial iterates for delayed components. The talk presents convergence results in expectation and numerical experiments on sparse matrices for both problem classes.

Neuroscience is experiencing unprecedented growth in dataset size both within individual brains and across populations. Large-scale, multimodal datasets are transforming our understanding of brain structure and function, creating opportunities to address previously unexplored questions. However, managing this increasing data volume requires new training and technology approaches. Modern data technologies are reshaping neuroscience by enabling researchers to tackle complex questions within a Ph.D. or postdoctoral timeframe. I will discuss cloud-based platforms such as brainlife.io, that provide scalable, reproducible, and accessible computational infrastructure. Modern data technology can democratize neuroscience, accelerate discovery and foster scientific transparency and collaboration. Concrete examples will illustrate how these technologies can be applied to mapping brain connectivity, studying human learning and development, and developing predictive models for traumatic brain injury (TBI). By integrating cloud computing and scalable data-sharing frameworks, neuroscience can become more impactful, inclusive, and data-driven..

Talks and panel discussions around the LifeQ process of moving from the embedded engineering of sensors on edge devices to big health data analysis in the cloud.