Prashant Pandey

Curriculum vitae

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Prashant Pandey

Biomedical engineer and inventor · Image-guided surgery, medical imaging and machine learning

Profile

Engineer and inventor developing image-guided surgical technology. Senior Staff Engineer at Stryker, building computer vision, machine learning and sensing systems for breast tumour localization; previously Engineering Scientist at MOLLI Surgical and an inventor of the FDA-cleared MOLLI 2 system. PhD in Biomedical Engineering (University of British Columbia; Vanier Scholar, Governor General’s Gold Medal finalist) on ultrasound-based surgical navigation, and MEng in Engineering Science (University of Oxford). Over $2M in competitive research and commercialization funding as lead or co-applicant.

Experience

Senior Staff Engineer · Stryker

Sep 2024 – Present

Toronto, Canada

  • Developing computer vision and machine learning systems that integrate the MOLLI localization system with Stryker’s open-field and endoscopic cameras.
  • Leading development of next-generation breast tumour localization devices from MOLLI Surgical’s portfolio, including ultrasound-based sensing technologies.
  • Software, machine learning and operating-system development for the next generation of the MOLLI localization system.

Engineering Scientist · MOLLI Surgical

Nov 2021 – Sep 2024

Toronto, Canada

  • Inventor of MOLLI 2, a breast tumour localization system for use during surgery, cleared by the US FDA in January 2023.
  • Developed a machine learning pipeline that localizes magnetic markers from high-dimensional sensor data.
  • Raised over $2M in competitive funding (INOVAIT Pilot and Focus Funds) for an ultrasound-based surgical navigation system for locating tumours.
  • Named inventor on four pending patent families, including first-named inventor on neural-network rejection of spurious magnetic fields during marker localization.

Engineering Lead · Retinographer

May 2020 – Sep 2023

Toronto, Canada

  • Developed a deep learning model that detects disease in retinal fundus photographs more accurately than board-certified ophthalmologists (British Journal of Ophthalmology).
  • Developed hardware and algorithms to automate retinal screening with smartphone cameras, supported by a Joule Innovation Grant from the Canadian Medical Association.
  • Released a public prototype at retinographer.com.

PhD Researcher (Vanier Scholar) · Surgical Technologies Laboratory, University of British Columbia

Dec 2018 – Aug 2023

MASc Researcher

Aug 2016 – Dec 2018

Vancouver, Canada

  • Built NOFUSS, a radiation-free surgical navigation system using tracked ultrasound and automatic bone registration. In cadaver surgeries it matched fluoroscopic screw accuracy with no intraoperative radiation and a shorter median insertion time (IEEE TBME 2024).
  • Proposed and led BonUS, an eight-institution ultrasound bone segmentation dataset and benchmark (CAOS 2022; data).
  • Developed Shadow Peak real-time bone segmentation and automatic ultrasound–CT registration for the full pelvis (IJCARS 2018; code).
  • Ran a 21-participant user study that identified the most effective targeting displays for navigated screw insertion (Arch Orthop Trauma Surg 2023).
  • Research funded by an Orthopaedic Trauma Association Research Grant and a WorkSafeBC Research Grant.

MEng Researcher · BUBBL Group, Institute of Biomedical Engineering, University of Oxford

Sep 2015 – Jun 2016

Oxford, UK

Investigated ultrasound and gas microbubbles for non-invasive blood pressure measurement (thesis).

Education

PhD, Biomedical Engineering · University of British Columbia

Dec 2018 – Aug 2023

An integrated system for ultrasound-based surgical navigation of iliosacral screws

Supervisors: Prof. Antony Hodgson and Dr. Pierre Guy

MASc, Biomedical Engineering · University of British Columbia

Aug 2016 – Dec 2018

Real-time ultrasound bone segmentation and robust US-CT registration for surgical navigation of pelvic fractures

Supervisors: Prof. Antony Hodgson, Dr. Pierre Guy and Prof. Rafeef Garbi

Sophomore College, Great Ideas in Computer Science · Stanford University

2013

MEng, Engineering Science · University of Oxford (Brasenose College)

Oct 2012 – Jul 2016

Injectable bubbles for physiological pressure measurement

Supervisors: Prof. Eleanor Stride and Prof. Robin Cleveland

Patents

  1. Prashant Pandey, John Dillon, Ananth Ravi, Mark Semple. Rejecting spurious magnetic fields during magnetic marker localization. US 2025/0387041 A1, WO 2025/264478 A1. Stryker Corporation. Pending; priority 2024.
  2. Ananth Ravi, John Dillon, Mark Semple, Prashant Pandey, Michael Giannini. Sensor arrangement for a magnetic marker localization system and method of determining a disposition of a magnetic marker. US 2025/0311939 A1, WO 2025/212697 A1. Stryker Corporation. Pending; priority 2024.
  3. Ananth Ravi, John Dillon, Mark Semple, Prashant Pandey, Michael Giannini. Sensor optimization to identify location and orientation of anisotropic magnet field from a permanent magnet. US 2026/0029224 A1, WO 2024/042365 A1. Stryker Corporation (originally filed by MOLLI Surgical Inc.). Pending; priority 2022.
  4. Ananth Ravi, Prashant Pandey, John Dillon. Ultrasound-based 3D localization of fiducial markers or soft tissue lesions. US 2025/0331805 A1, EP 4525764 A2, WO 2023/223103 A2. Stryker Corporation (originally filed by MOLLI Surgical Inc.). Pending; priority 2022.

Publications

Journal articles

  1. Prashant U. Pandey, Jonathan A. Micieli, Stephan Ong Tone, Kenneth T. Eng, Peter J. Kertes, Jovi C. Y. Wong. Realistic fundus photograph generation for improving automated disease classification. British Journal of Ophthalmology 109(7):791–798, 2025. doi:10.1136/bjo-2024-326122
  2. Prashant U. Pandey, Pierre Guy, Emily K. Bliven, Kelly A. Lefaivre, Antony J. Hodgson. An integrated system using ultrasound-based registration for surgical navigation of iliosacral screw insertions. IEEE Transactions on Biomedical Engineering 71(12):3482–3493, 2024. doi:10.1109/TBME.2024.3428340
  3. Prashant U. Pandey, Brian G. Ballios, Panos G. Christakis, Alexander J. Kaplan, David J. Mathew, Stephan Ong Tone, Michael J. Wan, Jonathan A. Micieli, Jovi C. Y. Wong. Ensemble of deep convolutional neural networks is more accurate and reliable than board-certified ophthalmologists at detecting multiple diseases in retinal fundus photographs. British Journal of Ophthalmology 108(3):417–423, 2024. doi:10.1136/bjo-2022-322183
  4. Prashant U. Pandey, Pierre Guy, Kelly A. Lefaivre, Antony J. Hodgson. What are the optimal targeting visualizations for performing surgical navigation of iliosacral screws? A user study. Archives of Orthopaedic and Trauma Surgery 143(2):677–690, 2023. doi:10.1007/s00402-021-04120-7
  5. Ricky Hu, Kevin Y. Fan, Prashant Pandey, Zoe Hu, Olivia Yau, Minnie Teng, Patrick Wang, Toni Li, Mishal Ashraf, Rohit Singla. Insights from teaching artificial intelligence to medical students in Canada. Communications Medicine 2:63, 2022. doi:10.1038/s43856-022-00125-4
  6. Prashant U. Pandey, Pierre Guy, Antony J. Hodgson. Can uncertainty estimation predict segmentation performance in ultrasound bone imaging?. International Journal of Computer Assisted Radiology and Surgery 17(5):825–832, 2022. doi:10.1007/s11548-022-02597-0
  7. Amanda Wong, Jovi C. Y. Wong, Prashant U. Pandey, Sam M. Wiseman. Novel techniques for intraoperative parathyroid gland identification: a comprehensive review. Expert Review of Endocrinology & Metabolism 15(6):439–457, 2020. doi:10.1080/17446651.2020.1831913
  8. Prashant U. Pandey, Niamul Quader, Pierre Guy, Rafeef Garbi, Antony J. Hodgson. Ultrasound bone segmentation: a scoping review of techniques and validation practices. Ultrasound in Medicine & Biology 46(4):921–935, 2020. doi:10.1016/j.ultrasmedbio.2019.12.014
  9. Houssam El-Hariri, Prashant Pandey, Antony J. Hodgson, Rafeef Garbi. Augmented reality visualisation for orthopaedic surgical guidance with pre- and intra-operative multimodal image data fusion. Healthcare Technology Letters 5(5):189–193, 2018. doi:10.1049/htl.2018.5061
  10. Prashant Pandey, Pierre Guy, Antony J. Hodgson, Rafeef Abugharbieh. Fast and automatic bone segmentation and registration of 3D ultrasound to CT for the full pelvic anatomy: a comparative study. International Journal of Computer Assisted Radiology and Surgery 13(10):1515–1524, 2018. doi:10.1007/s11548-018-1788-5

Conference papers & abstracts

  1. Pierre Guy, Prashant Pandey, Emily K. Bliven, Kelly A. Lefaivre, Antony Hodgson. Evaluating feasibility of ultrasound-guided insertion of iliosacral screws for pelvic fracture fixation. Orthopaedic Trauma Association Annual Meeting (OTA 2024), Basic Science Focus Forum, 2024.
  2. Prashant U. Pandey, Emily K. Bliven, Pierre Guy, Kelly A. Lefaivre, Antony J. Hodgson. NOFUSS: Navigated Orthopaedic Fixation using Ultrasound System. 22nd Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS 2023) 6:70–74, 2024. doi:10.29007/mtgn
  3. Prashant Pandey, Benjamin Hohlmann, Peter Brößner, Ilker Hacihaliloglu, Keiran Barr, Tamas Ungi, Oliver Zettinig, Raphael Prevost, Guillaume Dardenne, Zian Fanti, Wolfgang Wein, Eric Stindel, Fernando Arambula Cosio, Pierre Guy, Gabor Fichtinger, Klaus Radermacher, Antony J. Hodgson. Standardized evaluation of current ultrasound bone segmentation algorithms on multiple datasets. 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS 2022) 5:148–153, 2022. doi:10.29007/q51n
  4. Prashant U. Pandey, Pierre Guy, Kelly A. Lefaivre, Antony J. Hodgson. Optimal targeting visualizations for surgical navigation of iliosacral screws. Clinical Image-Based Procedures (CLIP 2020), MICCAI 2020 Workshops, Lecture Notes in Computer Science 12445:3–12, 2020. doi:10.1007/978-3-030-60946-7_1
  5. Prashant Pandey, Pierre Guy, Kelly Lefaivre, Antony J. Hodgson. Optimal targeting display for navigated pelvic screw insertions. 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS 2020) 4:220–224, 2020. doi:10.29007/srn7
  6. Jovi C. Y. Wong, Prashant U. Pandey. Robust classification of eye disease from fundus images using deep learning on multiple public datasets. Investigative Ophthalmology & Visual Science (ARVO 2020 Annual Meeting) 61(7):2014, 2020.
  7. Prashant Pandey, Niamul Quader, Kishore Mulpuri, Pierre Guy, Rafeef Garbi, Antony J. Hodgson. Shadow Peak: accurate real-time bone segmentation for ultrasound and developmental dysplasia of the hip. 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS 2019) 3:301–305, 2019. doi:10.29007/w172
  8. Prashant Pandey, Hridayi Patel, Pierre Guy, Ilker Hacihaliloglu, Antony J. Hodgson. Preliminary planning for a multi-institutional database for ultrasound bone segmentation. 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS 2019) 3:297–300, 2019. doi:10.29007/m1ll
  9. Jovi C. Y. Wong, Prashant U. Pandey, Mary Lou Jackson, Claire A. Sheldon. Automated structure-function analysis of OCT and microperimetry data using intensity-based image registration. Investigative Ophthalmology & Visual Science (ARVO 2019 Annual Meeting) 60(9):168, 2019.
  10. Prashant Pandey, Pierre Guy, Antony J. Hodgson, Rafeef Abugharbieh. Automatic techniques for registering tracked ultrasound to CT volume sets: a comparative study on a full pelvic phantom. Computer Assisted Radiology and Surgery (CARS 2018), International Journal of Computer Assisted Radiology and Surgery, Supplement 1 13, 2018.
  11. Prashant Pandey, Rafeef Abugharbieh, Antony J. Hodgson. Trackerless 3D ultrasound stitching for computer-assisted orthopaedic surgery and pelvic fractures. 17th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS 2017) 1:318–321, 2017. doi:10.29007/3wlw

Theses

  1. Prashant Pandey. An integrated system for ultrasound-based surgical navigation of iliosacral screws. University of British Columbia, 2023. doi:10.14288/1.0435523
  2. Prashant Pandey. Real-time ultrasound bone segmentation and robust US-CT registration for surgical navigation of pelvic fractures. University of British Columbia, 2018. doi:10.14288/1.0375839
  3. Prashant Pandey. Injectable bubbles for physiological pressure measurement. University of Oxford, 2016. doi:10.48550/arXiv.2211.12344

Grants (lead or co-applicant)

  • 2024–2026INOVAIT Focus Fund, $2,000,000. Three-year commercialization grant to develop a tumour localization system using ultrasound imaging and machine learning.
  • 2023–2024INOVAIT Pilot Fund, $125,000. Industrial research and development grant to prototype a tumour localization system using ultrasound imaging and machine learning.
  • 2021–2023Orthopaedic Trauma Association Research Grant, US$48,000. Competitive research grant funding two years of research for my PhD thesis.
  • 2021Joule Innovation Grant, Canadian Medical Association, $10,000. Development of Retinographer, an AI-powered handheld camera for imaging and diagnosing retinal disease.
  • 2019–2021WorkSafeBC Research Grant, $45,000. Competitive grant providing two years of support for doctoral research.

Awards & honours

  • 2024Governor General’s Gold Medal, finalist, University of British Columbia; shortlisted as one of UBC’s top graduating PhDs
  • 2020–2023Vanier Canada Graduate Scholarship ($150,000), Government of Canada (NSERC), for “Ultrasound-based surgical navigation for iliosacral screw insertions in pelvic fractures”
  • 2020–2023Four Year Doctoral Fellowship, University of British Columbia
  • 2017Award of Distinction ($2,500), Medical Device Development Centre
  • 2016–2018Oxford-Canada Scholarship ($50,000), Canadian Rhodes Scholars Foundation, for graduate study in Canada
  • 2015IT Innovation Grant ($12,300), University of Oxford

Teaching, outreach & service

  • 2020–2021AI in Medicine workshop series (UBC & Queen’s University) — co-designed course content and programming examples; 222 medical students from 8 Canadian schools in 2020
  • 2021A Complete Guide to Using Compute Canada for Deep Learning — tutorial and video series on deep learning on national HPC clusters
  • 2019Open-source contributions to 3D Slicer — merged fixes to the SlicerElastix registration extension

Skills

Expertise
Medical imaging, Image analysis, Computer vision, Surgical navigation, Ultrasound, Image registration, Magnetic localization, Machine learning & deep learning, Generative models (GANs, DDPMs), High-performance computing
Languages & tools
Python, MATLAB, C, C++, HTML/CSS, Git, Docker, Weights & Biases, tmux, SSH, Linux & Slurm
Libraries
PyTorch, OpenCV, scikit-learn, pandas, NumPy, Matplotlib, Flask
Software
3D Slicer, PLUS Toolkit, Blender, Autodesk Fusion 360, SolidWorks, LaTeX
Research
Cadaver & phantom studies, User studies, Clinical collaboration, Statistical analysis, Grant writing, Teaching