Tiffany joined NERSC in 2019. Prior to that, she was attending the Technical University of Munich (TUM), where she was studying in the informatics masters program with a specialization in HPC architecture and scientific computing.
Tiffany earned her B.S. in Computer Science in 2017 from Texas State University. During her undergraduate studies she worked in the Compilers Research Lab at Texas State University, where she conducted research on machine learning based automatic performance tuning of GPU kernels. Additionally, she held research internships at The University of Colorado at Colorado Springs, TACC, NERSC, and LLNL, working on projects involving HPC application and system performance modeling, monitoring, and tuning.
Tiffany's research interests include parallel and distributed architectures; performance monitoring, modeling, analysis, and tuning; power efficiency for parallel systems; and fault tolerance.