author-image

Joana Owusu-Appiah

.resume

An Erasmus Mundus Scholar studying Medical Imaging and Application (computer vision research on medical images) with a flair for exploring varying datasets and documenting new technologies as well as a proven skillset in data science and analytics with Microsoft Excel, Power BI, Python and Structured Query Language (SQL).

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.education

2023-2025
Erasmus Mundus Joint Master
University of Burgundy, France
University of Cassino and Southern Lazio, Italy
University of Girona, Spain
MSc Medical Imaging and Applications

Computer Vision research on Medical Images

Tools: Python, Matlab, CopperliaSim (robotics), Google Colab, Numpy, Pandas, Pytorch, GitHub, SQL, HTML, CSS, Java,

Skills: Machine Learning, Deep Learning, Research, Statistical Learning

2017-2021
Kwame Nkrumah University of Science and Technology,
Ghana
BSc Biomedical Engineering

Theses: Exploring the use of the OpenFlexure Microscope in Ghanaian Hospitals for Routine Clinical Diagnosis

.experience

February 2025 - Present
Surgical Augmented Reality (SURGAR), Clermont-Ferrand, France
Augmented Reality Researcher

Tools: 3D slicer, Meshroom, Blender, Python, PyTorch, NumPy, Scikit-learn, Pandas, CUDA, Matplotlib, OpenCV

  • Performed kidney segmentation from CT images using medical image processing tools and techniques.
  • Reconstructed a 3D kidney phantom from 2D images captured by digital cameras using Meshroom and photogrammetry workflows
  • Investigated and evaluated automatic 3D registration methods leveraging stereo camera inputs, with a focus on left-right image stream alignment and pose estimation.

    • August 2024 - November 2024
    Danube Private University (DPU), Austria
    Researcher - Radiomics

    Tools: 3D slicer,Python, Google Colab, PyTorch, NumPy, Scikit-learn, Pandas, CUDA, Matplotlib, OpenCV

  • Segmentation of DICOM images of silicon phantoms mimicking properties of soft tissues in the body.
  • Extraction and selection of radiomic features from ROIs post-segmentation process.
  • Building predictive models based on the selected features.

    • September 2023- Present
    freelancer
    Machine and Deep Learning Engineer

    Tools: Python, Google Colab, PyTorch, NumPy, Scikit-learn, Pandas, CUDA, Matplotlib, OpenCV

    Leveraged on traditonal features extraction methods as well as convolutional networks to perform machine intelligence tasks like classification.

    June 2023-August 2023
    WamiAgro Ltd
    Data Engineer

    Tools: Lucidcharts, Apache Airflow, Power BI

  • Designed a data architecture for the AgriTech start-up, focusing on data collection, optimized ETL paths using automated solutions like Apache Airflow, recommended ideal data modeling and governance techniques

  • Designed and implemented a data strategy document which increased the company’s yearly investment revenue by 30%.

    • 2022-2023
    Kwame Nkrumah University of Science and Technology, Computer Engineering Department
    Teaching and Research Assistant

    Tools:Arduino, Google Sheets, Mendeley Referencing tool


  • Prepared lecture materials and tutored over 1000 computer engineering undergraduate students Basic Electronics, Bioinstrumentation, Research Methodology, and Introduction to Hardware programming using Arduino.

    • .data science skills

    python
    80%
    matlab
    80%
    SQL
    60%
    Power BI
    80%

    .developing skills

    HTML/CSS
    70%
    Javascript
    50%
    PHP
    50%
    design
    60%