Seminar today - Prof Robert Grossman speaking about midscale AI bio-models, sharing and healthcare
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Benjamin Goudey
May 3, 2026, 9:20:21 PM (2 days ago) May 3
to Australian AI in Molecular Life Sciences
For anyone around the Parkville precinct this afternoon, there is a nice talking happening from Bob Grossman who is a great speaker who is doing lots of interesting work around data sharing, making use of embeddings from larger bio-foundation models and understanding how to bring these things together in a human 'omics setting, In person only, unfortunately for those who are not around.
Cheers,
Ben
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Time/Location: Monday 4 May, 2.30-3.30pm, Alan Gilbert Building, PAR-104, Room: G01/G02/G03
Title: In Praise of Midscale Language Models and AI Commons and Their Applications to Biology, Medicine and Healthcare
Abstract: Data commons have accelerated research in biology, medicine and healthcare by enabling scientists to access and analyze large complex datasets that would have been out of reach otherwise. A good example is provided by the Genomic Data Commons (GDC) that is used by over 150,000 cancer researchers each month and has enabled thousands of research papers.
One of the challenges of AI models in biology, medicine and healthcare is that most biomedical data is not freely available on the internet but, instead, is within the boundaries of academic medical centers, healthcare systems, or other specialized systems. AI commons are emerging as one of the solutions that enable AI models to be built over this high-quality data, but without the data leaving the commons.
In this talk, we discuss the growing importance and abilities of small and midscale AI models built over high-quality data within a data commons – we call this combination an AI Commons. We also discuss data meshes of two or more data commons and federated AI models built over them – what are called AI Meshes.
Bio: Robert L. Grossman is the Frederick H. Rawson Distinguished Service Professor of Medicine and Computer Science and the Director of the Center for Translational Data Science at the University of Chicago. He is the Chief of the Section of Biomedical Data Science in the Department of Medicine. He is also the chair of the Open Commons Consortium, a not-for-profit that develops and operates data commons to support research in science, medicine, and healthcare. He is PI for the Genomic Data Commons (GDC), one of the world’s largest collections of harmonized cancer genomics data, and the Project Lead for the Gen3 Data Platform, which is an open-source data platform for building data commons and data meshes.
The presentation will be followed by light refreshments and a chance to catch up with colleagues.
Cheers,
Ben
-------
Time/Location: Monday 4 May, 2.30-3.30pm, Alan Gilbert Building, PAR-104, Room: G01/G02/G03
Title: In Praise of Midscale Language Models and AI Commons and Their Applications to Biology, Medicine and Healthcare
Abstract: Data commons have accelerated research in biology, medicine and healthcare by enabling scientists to access and analyze large complex datasets that would have been out of reach otherwise. A good example is provided by the Genomic Data Commons (GDC) that is used by over 150,000 cancer researchers each month and has enabled thousands of research papers.
One of the challenges of AI models in biology, medicine and healthcare is that most biomedical data is not freely available on the internet but, instead, is within the boundaries of academic medical centers, healthcare systems, or other specialized systems. AI commons are emerging as one of the solutions that enable AI models to be built over this high-quality data, but without the data leaving the commons.
In this talk, we discuss the growing importance and abilities of small and midscale AI models built over high-quality data within a data commons – we call this combination an AI Commons. We also discuss data meshes of two or more data commons and federated AI models built over them – what are called AI Meshes.
Bio: Robert L. Grossman is the Frederick H. Rawson Distinguished Service Professor of Medicine and Computer Science and the Director of the Center for Translational Data Science at the University of Chicago. He is the Chief of the Section of Biomedical Data Science in the Department of Medicine. He is also the chair of the Open Commons Consortium, a not-for-profit that develops and operates data commons to support research in science, medicine, and healthcare. He is PI for the Genomic Data Commons (GDC), one of the world’s largest collections of harmonized cancer genomics data, and the Project Lead for the Gen3 Data Platform, which is an open-source data platform for building data commons and data meshes.
The presentation will be followed by light refreshments and a chance to catch up with colleagues.
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