Summary
Scott Medling is a research engineer and physicist with 11 years of experience applying optoelectronic and thermoelectric semiconductor physics to sustainable energy problems, currently building high-performance signal and image processing systems at SRI. He blends experimental expertise—synchrotron measurements, EXAFS, RXES, device fabrication—with scientific computing, accelerating Python code with multithreaded C++/Fortran and porting algorithms to PySpark and OpenCL for cluster and GPU deployments. Scott has a strong track record of turning proof-of-concept analyses into deployable tools, validating hardware performance to meet customer runtimes, and securing compute- and beamline resources through successful proposals. He also brings teaching and mentorship experience from university appointments, integrating computational projects into curricula and co-supervising student research that produced peer-reviewed publications. Based in Toledo, Ohio, he pairs deep domain knowledge in dopant behavior and materials characterization with practical engineering chops for scaling data volumes and runtimes. An under-the-radar strength is his history of achieving 20–150× speedups in scientific codes, enabling experiments and analyses that were previously impractical.
10 years of coding experience
13 years of employment as a software developer
California Institute of Technology
M.S., Physics, M.S., Physics at University of California, Riverside
University of California Santa Cruz