Assistant Professor Of Computer Science at Franklin & Marshall College
Pennsylvania, United States
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Summary
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Bradley Mcdanel is an assistant professor of computer science at Franklin & Marshall College with 12 years of experience bridging deep learning research and hardware-aware systems. His work focuses on decomposing neural network computation to the bit level—representing ops as sums of powers-of-two—to expose novel opportunities for accelerating DNN training and inference through compression, quantization, and adaptive computation. He brings a strong co-design perspective, developing compilers, scheduling techniques for systolic architectures, and neural architectures tailored to specialized hardware from a foundation of PhD research and postdoctoral work at Harvard and internships at Intel. Bradley’s background in networking research and early app development for special-needs users shows a breadth that informs practical, real-world system design choices. Based in Pennsylvania, he combines rigorous academic scholarship with hands-on systems prototyping to push efficient AI from theory toward deployable hardware-software stacks.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Harvard University
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Wake Forest University
Contributions:38 commits, 37 pushes, 1 branch in 11 months
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Bradley Mcdanel - Assistant Professor Of Computer Science at Franklin & Marshall College