I am an AI researcher and consultant working at the intersection of machine learning and medical imaging, with a long-standing curiosity for the engineering and statistical foundations that make modern ML work.
This is the slow-form home for my writing, publications, and projects.
Currently
Research
Building models for clinical imaging that are robust, sample-efficient, and honest about uncertainty.
News
Best Paper Award at the MVAA 2026 Challenge, MICCAI 2026, for geometry-aware and semi-supervised ensembles for mitral valve segmentation.
Writing
Paper notes, ML walkthroughs, and the occasional engineering rabbit hole.