Greg Fleishman
Software Engineer at Howard Hughes Medical Institute
Ashburn, Virginia, United States
Summary
👤
Senior🎓
Top SchoolGreg Fleishman is a software engineer and computational neuroscientist with nine years of experience developing scalable bioinformatics and imaging algorithms for terabyte-scale neuroscience datasets at HHMI Janelia. He builds production-grade pipelines for image registration, segmentation, and automated annotation across HPC and distributed systems, with deep expertise in applied mathematics, topology, and optimization. His work spans whole-brain, single-cell functional imaging (zebrafish), whole-brain EM (Drosophila), expansion and light-sheet microscopy, and MRI—translating advanced theory into usable software for experimental labs. Formerly a PICSL postdoc at UPenn and a UCLA PhD, he pairs rigorous research in modeling and network analysis with practical implementation in Python and HPC environments. Colleagues rely on him to turn challenging, noisy biological imaging problems into reproducible, high-performance solutions that scale.
9 years of coding experience
10 years of employment as a software developer
University of California, San DiegoAssociate of Arts, Classical Piano, 3.87 GPA, Associate of Arts, Classical Piano, 3.87 GPA at Moorpark CollegeMaster’s Degree, Bioengineering, 3.71 GPA, Master’s Degree, Bioengineering, 3.71 GPA at University of California, Los Angeles
Stackoverflow
1reputation
0reached
0answers
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Github Skills (93)
opencv10
parallel10
python10
image-processing10
deep-learning10
parallel-computing10
pydata10
pandas10
numpy10
computer-vision10
scipy10
dask10
segmentation10
scikit-learn10
subtraction9
Programming languages (8)
Github contributions (5)
GFleishman/ClusterWrap
Mar 2021 - Feb 2025
Contributions:31 pushes, 1 branch in 3 years 11 months
GFleishman/cellpose
Jul 2021 - Feb 2025
a generalist algorithm for cellular segmentation
Contributions:3 PRs, 45 pushes, 2 branches in 3 years 8 months
cellularsegmentation
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