Xiaobai Li is a Lead Data Scientist at Johnson & Johnson, where they are currently applying their expertise in machine learning. They earned a PhD in chemistry from Yale University, where they conducted advanced research in molecular dynamics and simulations. Previously, they worked as a data scientist at Nautilus Labs, developing machine learning models to optimize fuel efficiency for the shipping industry and leading a team to enhance operational efficiency. Xiaobai is passionate about leveraging data science to create sustainable solutions and thrives in collaborative environments.
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