I am interested in applying deep learning techniques to medical imaging and radiation oncology fields.
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Virginia Commonwealth University
Software Engineer
June 19, 2026 – Present
deep-learning-based-bone-age-estimation
March 26, 2024 – August 1, 2024
Develop a deep learning-based model utilizing a fully connected convolutional neural network (CNN) to predict bone age from left-hand radiographs.
View Projectdeep-learning-KBP-methods-for-rt-dose-prediction
December 20, 2022 – May 4, 2023
Compare various deep learning-based knowledge-based planning methods for 3D dose distribution prediction of the head and neck plans.
View Projectattention-aware-3D-UNet-for-RT-dose-prediction
November 21, 2021 – May 4, 2023
Evaluate the feasibility of attention-gated 3D U-Net for knowledge-based planning dose prediction of head-and-neck radiotherapy.
View Projectdense-dilated-residual-convolutions-for-contrast-enhanced-MRI-synthesis
August 1, 2021 – August 4, 2023
Deep learning-based convolutional neural network for contrast-enhanced MR image synthesis
View ProjectUNet-for-MR-to-MR-image-translation
July 9, 2021 – May 4, 2023
Develop a deep learning-based model for accurate image-to-image translation across MRI sequences for the brain region.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily concentrated on deep learning and medical imaging, primarily using Python. While this demonstrates depth in a specific area, it suggests a potentially narrow technical breadth for a general 'Software Engineer' role. The lack of diverse project types or team-based work makes it difficult to assess broader cultural fit or adaptability to varied technical challenges outside of their specialized domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects indicate a strong focus on individual research and development.