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What do you do with Data Science?

Rex developed the first billion-scale graph embedding services at Pinterest, and the graph-based anomaly detection algorithm at Amazon, and the first large-scale graph neural networks for subsurface simulation. Rex is passionate about graph learning applications in social science, natural science and medicine. His interest lies in exploring and exploiting the relational information underlying the data, and use graph learning techniques to allow ML models to capture such information. His long-term vision is to create explainable, expressive, and scalable self-supervised domain specific models based on data from different modalities, and the extracted relational information within the data.

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