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Putting optimal back on the table for real applications using Quantum as an accelerator
Keeping workers safe through analytics derived from sensor data fusion & aggregation and delivered through pervasive connectivity & real-time visualization
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$3.7 million NIH grant supports AI developments to improve accuracy of diagnosis and reduce need for patients to undergo more costly and invasive procedures

Rodrigo Lopez Negrete, PhD

Rodrigo Lopez Negrete obtained his BS and MSc from the Universidad Iberoamericana in Mexico City in 2005 and 2007, respectively. He obtained his PhD from Carnegie Mellon University in Pittsburgh, PA in 2011. All his degrees are in chemical engineering, specializing in process systems engineering, nonlinear programming, and controls.

Marissa Brennan_Headshot

Marissa Brennan is an Edison Engineer at GE Research that specializes in creating new materials and material processing capabilities. The durable innovations Marissa has been a part of creating contribute to substantial impacts in the aviation industry enabling safer, energy efficient, advanced technologies for flight.

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Xin Li is a research scientist in the Radiation Imaging lab. Xin's work aims at pushing the limits of industrial inspection and metrology using X-ray and CT. The work is important to products and services in aviation, power, oil & gas, and advanced manufacturing.


Xin holds degrees in Engineering Physics and Electrical and Computer Engineering and has broad research experiences in imaging system design and optimization, image quality evaluation, image quality improvement, and image analysis.

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Kristen joins a class of 19 being recognized for their outstanding contributions to the ceramic arts and sciences
Tube Watch is GE Healthcare’s predictive solution that is designed to remotely monitor and predict X-ray tube failures before any disruption occurs.
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Hear from two scientists at GE Research on how their work is helping to advance breast cancer research and forge new boundaries in the cancer imaging space.
Mingye Wu

Dr. Mingye Wu is a Senior Scientist in the Radiation Imaging Lab at GE Research, Niskayuna, NY. Mingye has deep expertise in X-ray physics modeling and CT system correction algorithms. He is a key developer and administrator of CatSim -- GE's simulation toolkit for CT imaging for biomedical and industrial inspection. His main areas of focus include image quality improvement, radiation dose reduction, and protocol optimization.