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).
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.
I am also currently a Senior Medical Software and Artificial Intelligence Engineer at Verdure Imaging Inc., where I help to create solutions for ultrasound-aided monitoring and diagnosis of scoliosis.
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.
If you would like to learn more about me, please feel free to take a look at my CV.
- September 2021: ASMUS 2021 is all wrapped-up - I recieved the Best Demo Award @ ASMUS for ADAPTS (Artificial intelligence Diagnostic And Prognostic Tools for Sonography) [video preview], and a Reviewer Commendation for my reviewing efforts, as did several other WEISS colleagues!
- September 2021: My work on point-set-based multimodal image registration has been accepted to Medical Image Analysis. Check it out here or here!
- July 2021: We've had four papers accepted to the Advances in Simplyfying Medical Ultrasound Workshop @ MICCAI 2021 - for more details, see here!
- February 2021: Recieved the SPIE Medical Imaging Conference's Computer-Aided Diagnosis Demonstrations Certificate of Merit (Runner-Up) for my live-demo of the SlicerDeepReg extension I've created!
- February 2021: Our COVID-19 Lung Ultrasound work has been published at SPIE Medical Imaging 2021.
- February 2021: DeepReg v0.1.2 is out! Need to intelligently align your medical images? Just
pip install deepreg.
- December 2020: Recieved the WEISS Directors' Special Commentation for my efforts in research and other contributions to WEISS and the wider community during the 1st year of my PhD at UCL
- November 2020: The DeepReg paper was accepted into the Journal of Open Source Software! Give it a read here.
- October 2020: Our COVID-19 Lung Ultrasound QA & Diagnosis work has been accepted for an oral presentation at SPIE Medical Imaging.
- October 2020: DeepReg's Educational Challenge is 1st Overall @ MICCAI. Check out the runnable tutorial here.
- October 2020: Received the Best Paper Award at the MICCAI ASMUS Workshop. Check out the paper here.
- Email: firstname.lastname@example.org
- Phone (Canada): +1 (416) 320-3344
- Phone (UK): +44 7939 428226