I am currently leading the Image-Guided Therapy and Robotics research group at the Siemens Healthineers Digital Technology and Innovation center, led by Dorin Comaniciu, (Princeton, NJ, USA). My research focus covers artificial intelligence, computational physiology and robotics, with the goal to develop solutions to enable next generation image-guided procedures.I graduated in 2010 from INRIA Sophia Antipolis, France.
With the team, we won the R&D 100 award for Siemens eSie Valves, recognized among the top 100 innovative products of 2015. We had the honor to win the 2015 NJ Thomas Alva Edison Patent Award for our work on personalized simulation of mitral valve interventions, and the 2019 NJ Thomas Edison Patient Award, for our work on patient-specific simulation of cardiac electrophysiology. Our research also led to three MICCAI Young Scientists Awards in 2011 (Towards Patient-Specific Finite-Element Simulation of Mitral Clip Procedure), 2013 (Fast data-driven calibration of a cardiacelectrophysiology model from images and ECG) and 2018 (Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation). I also had the honor to present our work at the prestigious College de France in Paris in 2019.
A complete list of my scientific publications can be found on my Google Scholar profile.