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Lei Huang is a research member in Texas Advanced Computing Center. Huang obtained his Ph.D. in Chemistry in 2008 from the University of Texas at Austin, then have worked as a postdoctoral fellow at Harvard University and a research assistant professor at University of Chicago. He has worked on diverse projects spanning from material science, biophysics to high performance computing and machine learning. He is a developer for widely used modeling/simulation software including CHARMM and NAMD. He also developed a scalable distributed high performance file system, FanStore, and many other tools for debugging and profiling.
Data Analytics, Compression, and Management
Linear Algebra
Machine Learning, Deep Learning and Artificial Intelligence
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