I seek to improve patient outcomes by improving the tools of science and medicine. Applications include image-guided interventions and computer-aided diagnosis, computer-vision for tracking ultrasound probes in anatomical coordinates, and innovative scientific instruments to further fundamental biomedical knowledge.

I apply novel computer vision algorithms and optics to the design and real-time analysis of biomedical imaging modalities such as OCT, ultrasound, and camera/microscope imaging. OCT and ultrasound are some of the safest and most affordable biomedical imaging modalities, but they suffer from substantial noise, imaging artifacts, and limited anatomical context. Improving the usefulness of these modalities directly improves biomedical science and patient care, and adapting either of these for use in a procedure instead of CT or MRI would simultaneously lower the associated costs. My approach is to analyze and develop entire novel systems for image analysis that are enabled by a deep understanding of the underlying imaging modalities’ optics/beam-forming, the expected perturbations of real-time robotic manipulations, and the human-machine environment through which the images are viewed. My end-to-end understanding, coupled with my close collaboration with associated clinicians and biomedical scientists, leads both to new applications of existing image analysis techniques and to original core algorithm development.

Research Interests: novel optics for imaging and visualization; biomedical image analysis and visualization; combining robotic multi-camera computer vision with volumetric/tomographic biomedical imaging modalities; Optical Coherence Tomography (OCT)