Benjamin Killeen
AI Consultant at Technical University of Munich
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolBenjamin Killeen is an AI consultant and postdoctoral researcher at the Technical University of Munich with nine years of experience bridging academic research and industry applications in computer vision and medical imaging. He earned a PhD in computer science from Johns Hopkins University in 2025 after contributing to ARCADE and CIRL labs, and now works on translating cutting-edge perception and surgical-assistance research into deployable systems. His background includes internships at Intuitive and IBM where he developed practical CV/ML prototypes and explored hardware-accelerated neural networks, and early roles building scientific image detection and clinician-facing analytics. Based in Munich, he combines rigorous experimental methodology with product-minded engineering, focusing on high-precision object detection and clinical workflows. Notably, his work spans from simulating orders-of-magnitude speedups for analog-memory CNNs to hands-on development of tools used by clinicians, showing a rare mix of systems-level thinking and domain-specific impact.
9 years of coding experience
2 years of employment as a software developer
Johns Hopkins UniversityBachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Chicago
Github Skills (73)
correlation10
procedures10
optimization10
catalyst10
spread10
reinforcement-learning10
arxiv10
simulation10
pytorch10
machine-learning10
segmentation10
region10
arcade9
parallel9
python9
Programming languages (6)
Github contributions (5)
benjamindkilleen/artifice
Oct 2018 - Oct 2019
Object detection in scientific images, confronting data scarcity and general principles with boundary-aware augmentation.
Contributions:288 commits, 2 PRs, 336 pushes in 1 year
pytorchboundaryprinciplesdeep-learningobject-detection
arcadelab/deepdrr
Oct 2020 - Jan 2023
Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606
Contributions:10 releases, 6 reviews, 435 commits in 2 years 3 months
pytorchsegmentationx-rayarxivprocedures
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