Elaine is a data enthusiast with a broad technical background in data analysis, machine learning, biomedical engineering, and vision research. She has leveraged technical computing in the medical arena for over 15 years. Her technical computing skills include Python, SQL, Matlab, and C/C+, which she has applied to data/image acquisition, data/image pipeline development, and creating predictive models to better understand vision loss.
Elaine has a BS in Biomedical Engineering from the University of Iowa and a PhD in Biomedical Engineering from Oregon Health & Sciences University. Her academic research background included sub-specialties of biomedical engineering such as biomedical optics and photonics, high-resolution (Adaptive Optics) imaging processing, and data analysis of structural disease biomarkers.
Her professional experience includes 6 years of postdoctoral research at the Ohio State University performing high-resolution retinal imaging of human subjects with vision loss. There she conducted research examining lesions and cellular patterns in patients with conditions including diabetic retinopathy (DR), age related macular degeneration (AMD), and glaucoma.
Elaine continues to apply her passion for harnessing data to combat vision loss as Senior Data Scientist at Lumata Health, which she joined in 2020.