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
Machine Learning, Deep Learning and Artificial Intelligence
ACM Gordon Bell COVID Finalist