Gregory Ely has a long history of work experience in research and engineering. Gregory began their career in 2006 as a Research Assistant at Boston University's Hearing Research Center, where they wrote and debugged code modules in C++ for EarLab. In 2007, they worked as a Research Assistant at Carleton College's LIGO (Laser Interferometer Gravitational Wave Observatory) Scientic Collaboration. Gregory developed and debugged MATLAB programs to analyze environmental sensor data and wrote and optimized code to run efficiently on distributed grid computers. In 2008, they were Assistant Technical Staff at the MIT Lincoln Laboratory, where they developed a modular real time radar tracker in C++ to run on multiple ground based radar systems, wrote and debugged real time imagery and data recording systems in C and C++, and developed MATLAB image processing and tracking tools. From 2010 to 2012, they were a Research Assistant in the Electrical Engineering department at Tufts University. In 2012, they were an Intern at Schlumberger, where they developed new algorithms for cement evaluation in boreholes using an ultrasonic transducer to image behind the borehole casing and created a new technique to improve the detection and characterization of the bond between cement and the rock formation. In 2018, they were an Intern in the Ultrasound beam-forming group at Philips, where they developed new micro-beamforming algorithms to improve image quality and contrast of channel limited ultrasound systems with 2D element arrays and designed and tested a slow-time methods for reducing reverberation clutter in sequences of cardiac images. From 2013 to 2021, Gregory Ely was a Postdoctoral Associate at the Massachusetts Institute of Technology, where they conducted human and porcine animal studies to investigate non-invasive methods of monitoring acute extremity compartment syndrome with ultrasound, developed a machine learning framework to classify anomalous muscle tissue in mice using quantitative ultrasound image metrics, and adapted methods from optimized experimental design to accelerate ultrasound tomography acquisition through minimizing the uncertainty of the reconstructed sound speed map. In 2021, they began working as an R&D Engineer at Lumafield.
Gregory Ely began their educational journey in 2004, earning a B.A in Physics from Carleton College in 2008. Gregory then went on to pursue a Master of Science (MS) in Electrical Engineering from Tufts University, which they completed in 2013. Finally, Gregory Ely obtained a Doctor of Philosophy (Ph.D.) in Geophysics and Seismology from the Massachusetts Institute of Technology in 2019.
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