Snider Ross is an Associate Professor of Electrical and Computer Engineering at Montana State University with 12+ years of experience embedding signal processing and algorithms into SoC FPGAs for cross-disciplinary applications at the nexus of signal processing, computer engineering, and biology. He led an NIH NIDCD Fast Track SBIR (Phase I/II) to build a next-generation computational platform for speech and hearing research using SoC FPGAs (fpga-open-speech-tools / sensorlogic.ai) and authored a Springer textbook on System-on-Chip FPGA design. His background includes postdoctoral auditory neuroscience research at Johns Hopkins, giving him rare domain expertise that bridges neural processing and hardware implementation. Known for translating biologically inspired signal problems into deployable FPGA solutions, he combines deep academic rigor with applied engineering that serves researchers and clinicians alike.
11 years of coding experience
BSE, Electrical Engineering, BSE, Electrical Engineering at Walla Walla College
Ph.D., Electrical Engineering, Ph.D., Electrical Engineering at Vanderbilt University
MSEE, Electrical Engineering, MSEE, Electrical Engineering at Michigan State University
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