Dan Sisk is an experienced engineer and educator with nine years in academia and a long career in R&D, including nearly three decades at PNNL leading instrument and software labs. He blends hands-on electrical and software engineering—automated data acquisition, radiological instrumentation, and machine vision—with curriculum design and instruction in statics, dynamics, circuits, and digital systems. Holder of an M.S. in electrical engineering and a B.S. in physics, he also holds three patents and a national technology award that reflect applied innovation. Based in Richland, WA, he consults on engineering programs while maintaining independent engineering practice, and brings a distinctive combination of government-lab rigor and classroom-tested pedagogy. His background from Puerto Rico and interest in machine learning and data analysis add a cross-disciplinary perspective that informs both research and teaching.
8 years of coding experience
Master of Science, Electrical Engineering, Master of Science, Electrical Engineering at Washington State University
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