Business Owner at Campagne Machine Intelligence Consulting LLC
New York, New York, United States
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Summary
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Senior
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Top School
Fabien Campagne is a machine intelligence consultant and former research professor with 18 years of experience building and putting ML systems into production, currently running Campagne Machine Intelligence Consulting in New York. He has led AI engineering teams at Xandr, GenHealth.ai and Microsoft, delivering multimodal deep learning models and scalable pipelines that moved research prototypes into Kubernetes-backed production services. A hands-on engineer fluent in Java and Python, he designed domain-specific MPS languages to cut CI/CD deployment times from days to hours and shepherded models that increased automation while preserving audit quality on large ad platforms. His background as a computational chemistry PhD and former lab head at Weill Cornell gives him rare depth in bioinformatics tooling—he contributed backend work to the widely used Integrative Genomics Viewer—and a strong quantitative foundation in statistics and parallel algorithm design. Fabien combines academic rigor with pragmatic engineering, mentoring small teams and advising startups on GPU infrastructure and multi-node model training for billion-parameter models.
18 years of coding experience
20 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Chemistry, Doctor of Philosophy - PhD, Computational Chemistry at Université Henri Poincaré, Nancy 1
Bachelor's degree, Chemistry, Bachelor's degree, Chemistry at University Joseph Fourier Grenoble I
Master's degree, Chemistry, Master's degree, Chemistry at Université Joseph Fourier Grenoble I
Integrative Genomics Viewer. Fast, efficient, scalable visualization tool for genomics data and annotations
Role in this project:
Backend Developer
Contributions:72 commits in 2 years 7 months
Contributions summary:Fabien primarily contributed to the development and maintenance of the Goby integration within the IGV (Integrative Genomics Viewer) project. Their work focused on supporting and improving the visualization of genomics data generated by the Goby software. This included implementing features to handle Goby-specific alignment files, such as base-level histograms and splice site visualization, and addressing related bugs and exceptions. Additionally, the user modified the user interface, adding filters and settings to the application.
Contributions:80 commits, 1 PR, 25 pushes in 3 years 5 months
mechanismrenderpdfpdf-generationmps
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