Eric Musselman

Lead Machine Learning Engineer at TopoDx

Atlanta, Georgia, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
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.
code10 years of coding experience
job2 years of employment as a software developer
bookMEng Biomedical Engineering (Cardiac/Neural), MEng Biomedical Engineering (Cardiac/Neural) at Duke University
bookHigh School Diploma, High School Diploma at Parish Episcopal School
bookPhD Biomedical Engineering (Neural), PhD Biomedical Engineering (Neural) at Duke University Graduate School
languagesEnglish, Spanish
stackoverflow-logo

Stackoverflow

Stats
1reputation
0reached
0answers
0questions
github-logo-circle

Github Skills (12)

simulations10
simulation10
peripheral10
python10
modeling10
pipeline10
kubernetes9
java-api1
api1
comsol1
scripting1
java1

Programming languages (3)

JavaHTMLPython

Github contributions (5)

github-logo-circle
wmglab-duke/ascent

Jul 2019 - Dec 2022

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
ascentpipelinenervesnervecomputational-modeling
Contributions:380 pushes in 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Eric Musselman - Lead Machine Learning Engineer at TopoDx