Research at BWH

I am a computer scientist with a background in computer graphics and shape modeling. My current focus is on image-guided neurosurgery. Our goal is to invent, develop, and validate new methods that use preoperative and intraoperative imaging to improve surgical precision and improve patient outcomes. I am currently working on three projects. The first is to model and compensate for brain shift during tumor resection. We are investigating methods to register preoperative MRI to intraoperative MRI and ultrasound and methods that track the location of surgical instruments continuously during surgery to provide a real-time map of what tumor has been resected and what tumor remains. The second project focuses on reconstructing patient-specific 4D models of cranial vessels for planning and monitoring neurovascular surgery, including the surgical removal of arterial venous malformations. The goal of the third project is to use imaging and computational modeling to help radiologists more precisely identify the cause of lower back pain so they can make specific recommendations to physical therapists and surgeons for treating lower back pain.

How I got here

Although I am an academic researcher in training and practice, I have followed an unconventional path. Since finishing my postdoctoral studies, I have moved between academics, industrial research, my own startup, industry, and clinical research. This path has been incredibly rewarding; allowing me to dedicate time in pure and applied research, to integrate that research into commercial applications, to launch those applications into successful products and to work with users of those products in real-world environments. It has provided me with a unique skill set and the ability to bridge gaps between academics and industry and between theory and practice.