A mix of academic research and applied work, mostly at the intersection of machine learning and healthcare. Anything tied to unpublished or company-specific work is kept generic here. For the full picture, see my experience page or download my CV.
Applied research: computer vision for portable ultrasound diagnostics Research assistant at the Marconi Lab, developing machine learning models for 2D ultrasound image analysis, including cervical cancer lesion segmentation and real-time needle guidance, integrated into portable and handheld ultrasound devices. The Marconi Lab · ongoing · Lab site
Teaching: machine learning at CMU Africa TA support for graduate coursework in machine learning, including materials development and research supervision. CMU Africa · ongoing
Pre-cancerous cervical cancer lesion segmentation An end-to-end segmentation pipeline for VIA colposcopy images. Tailored a UNET architecture with a VGG16 backbone for segmentation with local context, trained and evaluated on mobile colposcopy images. Python, TensorFlow, PyTorch, Wandb · Poster · GitHub
Needle segmentation system in 2D ultrasound A machine learning system for real-time guidance of minimally invasive procedures. Developed and trained segmentation models for needle detection, integrated into a handheld ultrasound device for real-time guidance. Python, TensorFlow, PyTorch, Wandb · Demo · GitHub
NASA NTRS document retrieval system An NLP-based web app for searching and retrieving NASA legacy technical reports, built for the 2022 NASA Space Apps Challenge. Global finalist. Python, PyTorch, NLP, Streamlit · Demo · GitHub