John Wadden is a postdoctoral researcher blending computer architecture and specialized accelerator design with sequencing wet-lab innovation to enable ultra-rapid (<1 hr) cancer and infection diagnostics and advanced liquid biopsy techniques. With 11 years of experience and a PhD in Computer Science, he develops heterogeneous, reconfigurable computing solutions and bioinformatics tools that accelerate nanopore sequencing workflows and assay design. A self-described "nanopore enthusiast/hacker" who intentionally challenges standard protocols, he pairs low-level hardware insight with hands-on PCR/LAMP and sequencing assay work to close the gap between bench and silicon. Based in Ann Arbor, he brings academic rigor from the University of Virginia and University of Michigan to pragmatic system building for precision medicine.
11 years of coding experience
4 years of employment as a software developer
BA, Computer Science Major, BA, Computer Science Major at Williams College
PhD, Computer Science, PhD, Computer Science at University of Virginia
VASim is a virtual homogeneous non-deterministic finite automata automata simulator and transformation tool. VASim can parse, transform, simulate, and profile homogeneous NFAs, and is meant to be an open tool for automata processing research. VASim can also be extended to support hypothetical automata processing elements.
Contributions:1 release, 195 commits, 13 PRs in 2 years
pythonsimulationsimulatorfinite-automataautomata
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John Wadden - Postdoctoral Researcher at University of Michigan