Michael Bronstein

In this engaging discussion, Michael Bronstein, a professor at Imperial College London and Head of Graph Machine Learning at Twitter, dives into the transformative power of graph machine learning. He shares insights on its applications in diverse fields like physics and bioinformatics, especially in predicting chemical properties for drug discovery. The conversation also touches on ethical considerations in AI, advancements in protein structure prediction, and the exciting future of graph ML in molecule discovery and even translating non-human communications. A must-listen for AI enthusiasts!

Michael Bronstein, a Professor at Imperial College London and Head of Graph Machine Learning at Twitter, shares insights into the growth of graph neural networks in machine learning. He discusses challenges like scalability and dynamic graphs, delving into innovative approaches that enhance model training and expressiveness. The conversation highlights real-world applications of graph ML in drug discovery and the importance of understanding molecular properties for advancing therapies. Michael's expertise illuminates the intersection of geometry and deep learning.