Jakob Troidl
AI Scientist at Howard Hughes Medical Institute (HHMI)
Ashburn, Virginia, United States
Summary
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Senior🎓
Top SchoolJakob Troidl is an AI Scientist at HHMI Janelia and a Harvard PhD in computer science focused on applied machine learning and data visualization for neuroscience. He builds representation-learning methods and scalable interactive visual-analysis tools to reveal the brain’s hidden architecture, combining strengths in visual computing, connectomics, and high-performance visualization. With eight years of research experience spanning academic and industry labs—including visiting roles at TuragaLab and a machine learning fellowship at E11 Bio—he has hands-on expertise in ML-guided error correction and visualization-driven discovery. His background in medical informatics and flow visualization informs a practical attention to real-world data fidelity and interactive interpretability that often shapes his approach to model and tool design.
8 years of coding experience
4 years of employment as a software developer
Vienna University of TechnologyDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Harvard University
English, German
Stackoverflow
79reputation
5kreached
3answers
5questions
Github Skills (114)
downsampling10
volumes10
github-pages10
blender10
segmentation10
jekyll10
jekyll-theme10
transform10
biomedical-image-processing9
neurons9
swc9
large-image9
python9
3d9
ccl9
Programming languages (10)
Github contributions (5)
jakobtroidl/jakobtroidl.github.io
Sep 2021 - Jul 2026
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:148 pushes, 1 branch in 4 years 10 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
jakobtroidl/neuronal-motifs
Feb 2022 - Mar 2023
interactive search and analysis for neuronal motifs
Contributions:524 commits, 18 PRs, 56 pushes in 1 year 1 month
connectomicsmotifsgraph-visualizationneuronalvisualization
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