Myron Brown
Principal Engineer at The Johns Hopkins University Applied Physics Laboratory
Laurel, Maryland, United States
Summary
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Senior🎓
Top SchoolMyron Brown is a Principal Engineer and hands-on technical leader with over two decades of experience building algorithms and production software at the intersection of computer vision, machine learning, and remote sensing. Based at Johns Hopkins APL, he has led teams that turned research into operational capabilities—delivering image/lidar registration, camera calibration, and Geiger-mode lidar pipelines for NGA, USSOCOM, and DARPA customers. His work spans C++ and C# engineering, program management, and public-data initiatives, including organizing four public data challenges and maintaining open datasets and tooling for geospatial computer vision. Myron’s research contributions include weak-, self-, and multi-view supervision methods for object detection, alignment, and geopose, with initial geopose results presented at CVPR 2020. He combines deep domain expertise in airborne and satellite mapping with a track record of reducing operational timelines by an order of magnitude and enabling government teams to deploy novel sensors. Outside program delivery, he champions open-source public-data resources to accelerate community research and reproducibility.
8 years of coding experience
13 years of employment as a software developer
Bachelor of Science (BS), Computer Science with minor in Mathematics, Bachelor of Science (BS), Computer Science with minor in Mathematics at West Virginia University Institute of TechnologyJohns Hopkins University
Github Skills (20)
ieee10
scene10
classification9
3d-models9
microscopy9
fusion9
gis8
geospatial8
wps8
python7
abstraction6
pdal6
binder5
simpleitk4
jupyter-notebook4
Programming languages (3)
Github contributions (5)
pubgeo/cmmh_segmentation
Feb 2018 - Jun 2020
Contributions:5 commits, 3 pushes, 1 branch in 2 years 4 months
pubgeo/AnnoteGeo
Jan 2018 - Jun 2020
Contributions:9 commits, 6 pushes, 1 branch in 2 years 5 months
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