I am a systems software engineer/hardware architect with a proven track record across processor design, computer architecture, system design, system software, AI/ML for science, research software engineering, and scientific software. Previously, I worked at AI hardware startups SambaNova and SAPEON, and I have contributed to several HPC infrastructure projects at Argonne National Lab.

My expertise spans hardware/software interfaces, processor architecture, memory and I/O system design, runtime frameworks, OS development, and scientific computing. I hold an undergraduate degree in physics and math/computer science (double major) from Lewis & Clark College, where I spearheaded the creation of the institution’s first-ever research computing infrastructure. I hold several patents in processor architecture, memory and I/O systems, and OS software.

Academically, my interests include quantum chromodynamics and thermodynamics, high-performance computing and parallelism, cloud and grid computing, and heterogeneous computing. I am passionate about empowering domain scientists by making computational resources more accessible and impactful, streamlining the process of computation-based science.

I strongly believe in the free sharing of knowledge—through open-source code or open-access scientific publications—as a driver for better science and societal progress.

Beyond work, I enjoy designing and operating small high-performance computing systems, especially for small institutions seeking cutting-edge HPC technology. I excel at maximizing system performance in user-friendly ways and take pride in creating custom middleware and system software tailored to diverse audiences, from students to faculty.

In my free time, I enjoy flying airplanes, building radios, reading, playing sports, cooking, and watching baseball.