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Celebrating the 2024 Nobel Prize in Physics and Chemistry

6 December 2024
AlbaNova Main Building
Europe/Stockholm timezone

Contribution List

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  1. 1. Opening Remarks
    06/12/2024, 15:00
  2. 2. Patrick Bryant: Structure prediction and design of protein interactions
    06/12/2024, 15:10

    The advent of AlphaFold revolutionized our understanding of protein structure prediction, delivering atomic-level accuracy for individual proteins. In this talk, I will present our advances in leveraging and extending the capabilities of predictive models like AlphaFold to predict and design functional protein complexes. Our work builds on the structural insights provided by AlphaFold,...

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  3. 3. Anneli Kruve: Discovering toxic chemicals with machine learning
    06/12/2024, 15:40

    Development of chemical industry over the last century enabled our comfortable life; however, the technology is imperfect and many unknown chemicals with unknown effects end up in the consumer products directly impacting humans or are emitted to the environment thorough waste streams. Due to the fact that these chemicals are unknown, novel data driven methods are needed detecting and...

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  4. 8. Golnaz Taheri: From Genes to Algorithms: How AI is Reshaping Life sciences
    06/12/2024, 16:35

    In this talk, I explore the transformative role of AI and ML in tackling some of the most critical challenges in computational biology. I will discuss how AI/ML, as powerful tools, offer solutions to decode complex biological systems, predict drug interactions, and advance cancer research. Highlighting the synergy between innovative methods and practical applications, this presentation focuses...

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  5. 5. Chun-Biu Li: If you can't explain machine learning simply, you don't understand it well enough
    06/12/2024, 17:05

    Despite their high popularity in both academic and industrial applications, machine learning (ML) and AI usually give the impression of blackbox models, existence of artifacts, counterintuitive results, diversity of methods, complicated training, etc. In this talk, I will share my research and teaching experiences in ML/AI in order to promote the importance of building up intuitive and...

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  6. 6. Panel discussion and closing remarkds
    06/12/2024, 17:45
  7. 7. Networking session
    06/12/2024, 18:20
  8. 4. Justin Alsing