My research is conducted as a member of the High Performance Computing Lab at the University of Oregon under the expert guidance of Dr. Boyana Norris.

High Energy Physics Performance Analysis and tuning
Recently I began working with physists at Fermi National Lab to analyze thier code and locate areas for performance improvements. This work has given me the opportunity to work with technology such as TAU performce software and Intel KNL machines.

Pedestrian Counting
The goal of this project is to develop a system that can be used by muncipalities to count pedestians to make informed decisions about road and sidewalk planning. Eventually, we intend to extend the system to count and differentiate between cars and, bikes, and pedestrians.
This research involves the tuning of various algorithms (in particular object tracking) to minimize resource consumption on the particular architectures. We achieve this goal through autotuning techniques originally developed for HPC systems, applying autotuning to improve the performance and energy use of the application. For more information please read my Directed Research Project report.

The goal of this project is to make dinner tonight. If successful we will be able to continue to function as a heathy adult human, earning an income that will allow us to replenish our food stores and eat dinner again tomorrow, thus restarting the cycle. Ideally this project will be ongoing for the duration of our life-time.

Quote; because quotes are fun:
"Seize the time... Live now! Make now always the most precious time. Now will never come again."
-- Capt. Jean-Luc Picard (Star Trek TNG)