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Mr Zac Baum
1st Floor
Charles Bell House
43-45 Foley Street
Mr Zac Baum profile picture
  • Postgraduate Teaching Assistant
  • Dept of Computer Science
  • Faculty of Engineering Science
  • Post Graduate Teaching Assistant
  • Dept of Med Phys & Biomedical Eng
  • Faculty of Engineering Science

I am a Medical Imaging Ph.D. candidate in the Department of Medical Physics and Biomedical Engineering at University College London (UCL). I am completing my research in the Computer-Assisted Navigation, Diagnosis and Intervention (CANDI) Group under the supervision of Professors Dean Barratt and Yipeng Hu. Additionally, I am a member of the UCL Centre for Medical Image Computing (CMIC) and Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS).

Previously, I was a Master of Science student in the School of Computing at Queen's University, studying under the supervision of Professor, and Canada Research Chair in Computer-Integrated Surgery, Gabor Fichtinger. As a member of the Laboratory for Percutaneous Surgery (a.k.a. The PerkLab), my research focused in Computer-Assisted Surgery and Guided Interventions. I specialized in the design, development, and use of augmented reality and holographic visualizations for neurosurgical training and surgical planning with custom-built and off-the-shelf devices like the Microsoft HoloLens.

I also completed my Bachelor's degree in Biomedical Computing at Queen's University. In both programs, I graduated with honours distinction and received numerous prestigious awards for my academic and research excellence, athletic performance, and contributions to the School of Computing and the Queen's University communities.

Research Summary

My research interests include applying artificial intelligence, modelling and software engineering for surgical procedures and medical interventions. It is a core desire of mine to aim to translate my methodologies and innovations to improve surgical navigation, disease diagnosis, and minimally invasive interventions. I have a strong background in the design and development of computer-aided tools for planning and guidance in surgery. Additionally, I have extensive knowledge of medical imaging and image analysis, having worked with CT, MRI, and ultrasound imaging technologies throughout my research.

Academic Background
2019   Computing Queen's University, Canada
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