Welcome!

I develop machine learning algorithms for medical imaging, with a focus on 3D geometric deep learning.

I’m a machine learning engineer with a Ph.D. in Medical Physics from the University of Chicago. I build ML models for 3D medical imaging, from the physics of how an image forms to models running in production. At Dandy, a dental medical device manufacturer, I developed computer vision algorithms end-to-end, from dataset design to production deployment. I now do machine learning consulting.

My Ph.D. research, advised by Dr. Patrick La Rivière and Dr. Rudolf Oldenbourg, developed birefringence tomography: the first algorithms recovering 3D birefringence from polarized light-field microscopy.

What I work on

• 3D geometric deep learning for anatomy: segmentation, generation, and refinement on point clouds, voxel grids, and meshes
• Physics-based 3D reconstruction: differentiable forward models, equivariant networks, and neural fields
• Clinical validation: acceptance criteria set with clinicians before evaluation, and analysis of how models fail

Outside of work, I enjoy playing soccer and making ceramics.