Brad Busse

Postdoctoral Fellow at National Institutes of Health

Bethesda, Maryland, United States
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Summary

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Senior
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Top School
Brad Busse is a Postdoctoral Fellow with 13 years of experience applying advanced data science and image-processing techniques to biomedical research, blending deep learning, classical computer vision and statistical analysis. He is fluent in Python and familiar with Matlab, Java and C++, and has built practical pipelines from active learning classifiers for high-dimensional imaging to level-set segmentation for protein quantification. At the NIH he developed tissue-preservation methods for iterative immunofluorescence, led mentorship initiatives, and delivered a deep learning system to detect muscle damage—work that bridges algorithm development and hands-on microscopy. Comfortable leading diverse teams, he has a track record of turning messy experimental imaging data into reproducible, statistically meaningful results and mentoring others to do the same. An unusual strength is his combination of microscope planning and SIFT-based motion analysis expertise, enabling quantitative study of cellular migration in challenging biological systems.
code13 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD, Biophysics, Doctor of Philosophy - PhD, Biophysics at Stanford University
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Github Skills (14)

trinitycore10
azerothcore10
survival10
python4
nlp3
text-processing3
roguelike3
natural-language-processing2
game-development2
preprocessing2
rivet1
workspace1
machine-learning1
tomography1

Programming languages (3)

C#C++Python

Github contributions (5)

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facepalm/Cataclysm-DDA

Mar 2015 - Dec 2015

Contributions:17 pushes, 22 branches in 9 months
gamecataclysmroguelikewhalesdark
facepalm/screeps-scriipts

Dec 2016 - Jan 2019

Contributions:74 pushes, 2 branches in 2 years 1 month
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Brad Busse - Postdoctoral Fellow at National Institutes of Health