Benjamin Gallusser
Senior Research Scientist, Imaging & AI at Biohub
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolBenjamin Gallusser is a Senior Research Scientist specializing in imaging and AI with nine years of experience applying deep learning to microscopy and biological problems. He led award-winning work on transformer-based cell tracking and large-scale 3D segmentation during his doctoral research at EPFL, and recently joined Biohub to continue translating cutting-edge methods into life-science impact. His background spans academic and industry labs (Harvard Med, HHMI Janelia) and includes production-focused tooling and open-source projects such as StarDist and Trackastra that prioritize robustness and usability. Comfortable across computer vision, self-supervised learning, and graph neural networks, he bridges algorithmic innovation with practical pipelines for nanoscale and live-cell imaging. Based in San Francisco but forged in Swiss and US research environments, he combines rigorous CS training from ETH Zürich and TUM with a knack for shipping reproducible, scalable solutions. An understated strength is his focus on easy-to-use open-source releases that accelerate adoption in biology beyond pure research prototypes.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Informatics, Bachelor of Science - BS Informatics at Technical University of MunichMaster's degree Computer Science, Master's degree Computer Science at ETH ZürichVisiting Scientist Master's thesis on Machine Learning & Computer Vision, Visiting Scientist Master's thesis on Machine Learning & Computer Vision at HHMI Janelia Research Campus
German, French, Spanish, English, Italian
Github Skills (107)
python10
image-viewer10
deep-learning10
gpu10
numpy10
neural-network10
convex10
viewer10
multidimensional10
image10
machine-learning10
generative-adversarial-network10
acceleration9
pipeline9
tensor9
Programming languages (6)
Github contributions (5)
kirchhausenlab/gunpowder
Apr 2020 - Mar 2021
A library to facilitate machine learning on multi-dimensional images.
Contributions:6 PRs, 50 pushes, 19 branches in 10 months
dimensional-imagesmulti-dimensionalpythondeep-learningcomputer-vision
bentaculum/napari-ctc-io
Oct 2023 - Nov 2024
Contributions:7 releases, 3 PRs, 22 pushes in 1 year 1 month
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