2D/3D Image Processing; Beamforming; Image quality; new imaging modes - from project prioritization to research and prototyping.

Prioritize, plan, implement and validate new imaging modes and improvements on existing ones. Redesigned the filter design, gain management, and image processing parts of the imaging chain - from theory to implementation to validation. Key contributor to the giant image quality leap from IQ+ to IQ3, especially in Cardiac and High Frequency presets. As contact point between the Imaging and Deep Learning teams, helped prioritize DL strategy and portfolio, defined imaging and DL preprocessing steps, and participated in model clinical validation.

Manager / Player of the Core Imaging Research TeamApplied research in medical ultrasound: Beamforming, Image Quality, Doppler and Strain/Strain rate imaging, Quantification, Machine Learning for image reconstruction. Clinical insight gathering, IP and knowledge creation, Algorithm research and prototyping, Pre-clinical and clinical studies.Among direct recent contributions: - HDR mode (High Dynamic Range) for B-mode Ultrasound Ultrasound Imaging (Marketed as TissueBoost / ImageBoost). Estimated impact over $25M/year in sales.- Onvision - an internal venture for tool guidance in regional anesthesia. Partnering with B-Braun, the estimated impact is over $25M per year in sales.- "First to world" proofs of concept of improved resolution, frame rate, and clutter noise reduction with AI beamforming.

Validation of a neural network to estimate rainfall with high temporal resolution and wide coverage from geostationary optical satellite images.

Fundamental research on Time Reversal and Inverse Filters for wavefront refocusing through reverberating and scattering media.

Glaciar retreat quantification in the Cordillera de los Andes, Peru. Responsibilities included field work, Geographic Information System creation and maintenance, hydrological balance analysis, and 3D change detection measured with satellite data.