Benjamin D. Killeen
Scholar

Benjamin D. Killeen

Google Scholar ID: QX7AvxUAAAAJ
Postdoc, Technical University of Munich
Surgical Data ScienceMedical AIRoboticsSimulation
Citations & Impact
All-time
Citations
1,730
 
H-index
13
 
i10-index
14
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Published peer-reviewed journal articles and conference papers in international venues such as IPCAI, MICCAI, CVPR, and Nature Machine Intelligence. Member of the Siebel Scholar Class of 2025, recognizing academic excellence and research contributions. Thesis research partially supported by the Link Foundation Fellowship in Modeling, Simulation, and Training.
Research Experience
  • Postdoc at the Technical University of Munich, affiliated with the Chair for Computer Aided Medical Procedures led by Nassir Navab. Interned at IBM Research - Almaden, Epic Systems, and Intuitive Surgical.
Education
  • Ph.D. in Computer Science from Johns Hopkins University (Advisors: Mathias Unberath, Greg Hager) in 2025; B.A. in Computer Science with Honors from the University of Chicago in 2019.
Background
  • Research Interests: Future of AI- and robot-assisted healthcare; Professional Field: Computer Science; Brief Introduction: A postdoctoral researcher at the Technical University of Munich, focusing on physics- and learning-based simulations for intelligent assistance systems and immersive educational experiences.
Miscellany
  • Enjoys running, bouldering, and creative writing. Avid fan of art museums and espresso, especially together.