I am a researcher who brings knowledge and tools from biology, physics, engineering and applied mathematics to bear on hard problems in healthcare. I currently work at Stanford University, designing tools and conducting pre-clinical trials for incision-less robotic surgery of brain tumors. I have previously collaborated with both large corporations like Siemens and GE and with startups in France (Imasonics) , Israel (InSightec) and the US (TechniScan) to develop novel algorithms and predictive models, to design and test organ-specific transducers, and have also worked with hospital staff to improve the efficiency of blood utilization at Stanford Hospital as the leader of a 5-person consulting team.
Below are links to some of my past projects with more details about them. A link to all my published work and citation index here.
Most of my work uses Magnetic Resonance-guided focused ultrasound surgery (MRgFUS), which is a non-invasive technique that uses ultrasound rays focused deep within the body to ablate (burn) tissue. My work focuses on solving some of the challenges of this technology aimed at improving the safety and accessibility of MRgFUS treatments.
For my PhD research at the University of Utah, I developed rapid techniques for modeling ultrasound beam simulation in 3D heterogeneous tissue geometries, reducing calculation times by over two orders of magnitude. This significant change in speed allowed the development of patient-specific treatment plans for MRgFUS treatments, improved methods for monitoring MR-guided treatments that use information from simulation, algorithms for real-time treatment control and algorithms for organ-specific transducer design. For my fellowship at Stanford, I work on neurostimulation, correction of phase aberration due to the presence of the skull in MRgFUS in the brain, prediction of efficiency of brain treatments in humans.