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Jure Leskovec is a Professor in the Department of Computer Science at Stanford University, affiliated with the Stanford AI Lab and Machine Learning Group. He has significantly contributed to the field of Graph Neural Networks and co-authored PyG, a widely-used graph neural network library. His research has focused on using social network analysis and machine learning to combat the COVID-19 pandemic, and he has collaborated with major companies such as Facebook, Pinterest, and Uber. Leskovec has received several prestigious awards for his research, including the Microsoft Research Faculty Fellowship in 2011, the Okawa Research Award in 2012, the Alfred P. Sloan Fellowship in 2012, the Lagrange Prize in 2015, and the ICDM Research Contributions Award in 2019. He has also won multiple paper awards and recognitions for his contributions to data mining and computational biomedicine, particularly in drug discovery. Leskovec completed his Bachelor's degree in Computer Science at the University of Ljubljana in Slovenia and obtained his PhD in Machine Learning from Carnegie Mellon University, followed by postdoctoral training at Cornell University.
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