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Dr. Weijia Xu is a research scientist and the Manager of the Scalable Computational Intelligence group at TACC. He is a computation scientist by training and an experienced data scientist. Dr. Xu's main research interest is to enable data-driven discoveries through developing new computational methods and applications that facilitate the data-to-knowledge transfer process. His projects have been funded through various federal and state agencies and resulted over 60 peer-reviewed publications. Dr. Xu leads the group that supports large scale data driven analysis and machine learning workflow using computing resources at TACC. The support includes providing platform and software support, collaborating with users and offering training workshop and tutorials on topics such as R, Python, Hadoop, Spark, for machine learning and deep learning.
Data Analytics, Compression, and Management
Linear Algebra
Machine Learning, Deep Learning and Artificial Intelligence
Best Practices
Big Data
Machine Learning, Deep Learning and Artificial Intelligence
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