A Ph.D. student at Johns Hopkins University, I am interested in the future of AI- and robot-assisted interventional healthcare. My recent work advances physics- and learning-based simulations -- from single image formation to room-scale environments -- as the basis for intelligent assistance systems and immersive educational experiences. I am a member of the Advanced Robotics and Computationally Augmented Environments (ARCADE) research group, led by Mathias Unberath, and the Computation Interaction and Robotics Laboratory (CIRL) led by Greg Hager. In 2023, I received the Link Foundation Fellowship in Modeling, Simulation, and Training, which supports my work preparing clinicians for the future operating room using interactive digital twins. In 2019, I earned a B.A. in Computer Science with Honors from the University of Chicago, with a minor in Physics. Outside of academia, I have interned with IBM Research - Almaden, Epic Systems, and Intuitive Surgical.
PhD Student in Computer Science at Johns Hopkins University
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Johns Hopkins University @arcadelab
- Baltimore, MD
- benjamindkilleen.com
- @bdkilleen
Highlights
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arcadelab/deepdrr
arcadelab/deepdrr PublicCode for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606
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IPCAI-pelvic-corridors
IPCAI-pelvic-corridors PublicCode for our IPCAI 2023 paper: "An Autonomous X-ray Image Acquisition and Interpretation System for Assisting Percutaneous Pelvic Fracture Fixation."
Python 3
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arcadelab/perphix
arcadelab/perphix PublicUtilities and documentation for working with X-ray Workflows datasets.
Python
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SPIE-2022_cortical-breach-anticipation
SPIE-2022_cortical-breach-anticipation PublicCode for our paper at SPIE Medical Imaging 2022: "Toward Perception-based Anticipation of Cortical Breach During K-wire Fixation of the Pelvis"
Python 4
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