Delaney Sondgeroth
Research Fellow - Picv Lab @University of Iowa Office of Undergraduate Research
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WORK HISTORY
Research Fellow - Picv Lab @University of Iowa Office of Undergraduate Research
Iowa City, IA, US
Trained and assisted by Professor Sarah Gerard and two PhD students, my independent research project, funded through ICRU\'s Research Fellows Program, aims to develop code and implement AI and machine learning techniques to automate the analysis of kidney structure in scanning electron microscopy (SEM) images. The research will begin with traditional image processing methods and progress to deep learning approaches, including convolutional neural networks, to segment key structures and extract disease-related biomarkers. The project also involves working with high-performance computing resources and exploring self-supervised learning to improve performance with limited data. This experience is helping me build valuable skills in medical imaging, AI applications, and biomedical engineering and further preparing me for future opportunities in research and a career at the intersection of healthcare and technology.Here is a link to my research page: https://gerard.lab.uiowa.edu/people/delaney-sondgeroth
EDUCATION
University of Iowa
Bachelor's degree, Biomedical Engineering
ABOUT DELANEY SONDGEROTH
As a current student at the University of Iowa, pursuing a bachelor’s degree in biomedical engineering and a computer science minor, I have cultivated a strong foundation in both engineering principles and their practical applications while developing proficient problem-solving and communication abilities and demonstrating diligence. These combined with my passion for biomedical engineering, interest in medical devices and the medical field, and drive to make a difference equip me with the analytical skills, confidence, and motivation to thrive in various professional settings. Along with the strong analytical skills I have developed from working towards my degree, I am also organized and detail oriented, adaptive and can learn quickly, and have a strong interest in the intersection of innovative technology and the medical field that I am confident I can apply to drive solutions, accomplish goals, and make a meaningful contribution to a variety of projects.
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