PhD Researcher · AI for Medical Imaging
I build AI systems for medical imaging and digital pathology. Currently pursuing my PhD, focused on data-efficient methods for clinical decision support in low-resource settings.
ERC-funded project developing robust, data-efficient AI for fetal ultrasound analysis in low-resource African settings — improving prenatal care and clinical decision support.
AI pipelines for computational pathology using whole slide images. Leveraged Gigapath and Canvoi foundation models to classify BMI groups and predict HER2 status from histopathology embeddings across multiple magnifications.
U-Net based segmentation for automated classification of COPD severity from medical imaging, supporting clinical decision-making.
↗ GitHubFrom-scratch neural network in C with parallelized training via OpenMP and CUDA.
↗ GitHubAnisotropic diffusion for image denoising using the Mimetic Method — preserves structural features while reducing noise.
↗ GitHubI help companies explore and apply AI in their daily operations — from understanding what's possible to designing and implementing machine learning workflows. Background in data science, ML research, and building scalable AI systems.
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