Eric Musselman is a Lead Machine Learning Engineer with a decade of experience translating biomedical research into production ML systems that accelerate clinical decision-making. Currently an early engineering leader at TopoDx, he builds scalable data pipelines and algorithms that cut infectious disease ID/AST turnaround from days to hours. His PhD and research roles in neural engineering at Duke combined physics-based simulation, open-source modeling, and cross-species analysis of nerve stimulation, revealing why VNS therapies often fail to translate. Equally comfortable in lab, clinical, and production environments, he blends deep domain expertise in biomedical engineering with practical ML engineering to move breakthrough science into real-world impact. Based in Atlanta, he brings a unique mix of academic rigor, mentorship experience, and hands-on manufacturing and product ops background to bridge research and deployment.
10 years of coding experience
2 years of employment as a software developer
MEng Biomedical Engineering (Cardiac/Neural), MEng Biomedical Engineering (Cardiac/Neural) at Duke University
High School Diploma, High School Diploma at Parish Episcopal School
PhD Biomedical Engineering (Neural), PhD Biomedical Engineering (Neural) at Duke University Graduate School
ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves
Contributions:19 releases, 2 reviews, 2033 commits in 3 years 5 months
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Eric Musselman - Lead Machine Learning Engineer at TopoDx