About
Current area of practice:
Machine learning for global health.
Work:
(2013 - current) Senior research scientist at Global Health Labs, Bellevue, WA.
Our team develops machine learning algorithms to address health care needs in low-resource settings. My projects include:
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Automated diagnosis of malaria using microscopy images of blood films
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Assessing vitamin A deficiency via pupillary response videos
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Predicting moisture content of drying grain (very low-cost device)
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Ultrasound diagnosis of lung conditions
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Pregnancy risk stratification
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Diagnosis of Neglected Tropical Diseases (eg Loa loa, schistosomiasis)
(2013 - 2021) University of Washington, Seattle, WA: PhD in Electrical Engineering; Swartz Foundation Scholarship in neuroscience; Research scientist in Applied Math, PI J. Nathan Kutz
Projects included:
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Understanding biological learning mechanisms and porting them to neural nets.
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Use of ML to deduce governing equations of physical systems from noisy experimental data.