Thomas Lux

Thomas Lux is a Ph.D. student in the Department of Computer Science.  He is advised by Layne Watson.

Lux is also an NSF Research Trainee in the UrbComp program.

Lux’s research focuses on applied approximation, numerical analysis, and nonparametric statistics. He is part of the VarSys team that creates models to help understand and manage computational performance variability across the computer system stack.

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