Charles Camp
Project Leader, Electrical Engineer at National Institute of Standards and Technology (NIST)
Bethesda, Maryland, United States
Summary
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Senior🎓
Top SchoolCharles Camp is an interdisciplinary optical scientist and electrical engineer with 11 years of experience leading development of advanced label-free chemical imaging and quantum-enhanced microscopy for biology and medicine. As a project leader at NIST he tackles metrological challenges using nonlinear and quantum optical spectroscopy, having developed the world’s fastest BCARS microscope and novel BCARS/MCARS flow-cytometry systems. He couples hands-on instrument design with software: building hyperspectral image processing, visualization tools, and physics-aware machine learning models that make complex hyperspectral data interpretable. His work bridges fundamental photonics research and practical clinical/biological applications, enabling functional imaging of cells and tissues without labels. Based in Bethesda, MD, he has a Ph.D. in electrical engineering from Georgia Tech and a track record of translating optics innovation into institutional core technologies. An often-overlooked strength is his ability to mentor interdisciplinary teams and secure cross-disciplinary collaborations that move prototypes toward real-world measurement standards.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering at Georgia Institute of TechnologyThe University of Maryland, College Park
Github Skills (23)
baseline-removal10
unsupervised-machine-learning10
visualization10
python10
matplotlib10
nist10
imaging10
unsupervised-learning10
multidimensional-data10
scientific-visualization10
svd10
h5py9
pyqt9
data-analysis9
data-visualization9
Programming languages (1)
Github contributions (5)
CCampJr/CRIkit
Jul 2015 - Apr 2019
Contributions:23 commits, 2 pushes in 3 years 10 months
CCampJr/pyMCR
Apr 2019 - Oct 2021
Multivariate Curve Resolution for Python
Contributions:4 releases, 13 PRs, 66 pushes in 2 years 6 months
python
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