Biography
Lei Huang joined TACC in 2014 and he is a research associate in TACC's High Performance Computing group. His current research focuses on algorithm development, implementation, validation and performance optimization involved in molecular dynamics software on modern HPC architectures.

Lei earned his PhD in computational chemistry from UT 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 to biophysics. He is a developer for widely used modeling/simulation software including CHARMM and NAMD. He also developed a web server, GAAMP, which can automatically parameterize a small compound with ab initio calculations.
Presentations
Workshop
Deep Learning
Scientific Computing
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Workshop
Best Practices
Build Systems
Datacenter
HPC Center Planning and Operations
Parallel Application Frameworks
System Testing
Tools
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