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Clay Sheaff, Ph.D. has a range of experience in the fields of ML engineering, software engineering, and research. Clay began their career in 2009 as a Graduate Research Assistant at the University of Minnesota, where they focused on areas such as DAQ and image reconstruction software for ultrasound and photoacoustic imaging. Additionally, they designed and characterized micro-opto-mechanical ultrasound transducers.

Following this, Sheaff worked as an R&D Engineer at PENTAX Medical where they assessed and supplemented strategies for Endoscopic Ultrasound (EUS) systems and applications. Clay also developed technical criteria for EUS product lines and explored advanced imaging concepts.

In 2017, Sheaff joined the University of California, Davis as a Postdoctoral Researcher. Here, they were involved in hardware, DAQ, and algorithm development in ultrasound biomicroscopy. Clay improved quantitative ultrasound techniques and systems design for ultrasound micro elastography, as well as performed intravascular ultrasound signal and image processing.

From 2018 to 2022, Sheaff worked as a Senior Software Engineer at NeuroVision Imaging, Inc. where they contributed to Python-based computational libraries and drove the adoption of the Pytest testing framework. Clay also developed image processing algorithms using Agile, Git, Docker, and AWS.

As of 2022, Sheaff is employed as an ML Engineer at RapidAI.

Clay Sheaff, Ph.D. has a strong education background in the field of engineering. Clay obtained their Bachelor of Science (BS) in Electrical Engineering from the University of Nebraska-Lincoln, where they studied from 2000 to 2004. Following this, Clay pursued their Master of Science (MS) degree in Biomedical Engineering at Northwestern University, completing their studies from 2005 to 2008. Clay then continued their academic journey by enrolling in the University of Minnesota, where they earned their Ph.D. in Biomedical Engineering from 2009 to 2014. Clay Sheaff's educational path reflects a focus on enhancing their expertise in the field of engineering, particularly in the areas of electrical and biomedical engineering.