Michelle Hoogenhout is a Lead Data Scientist with 11 years of experience building data teams and applying ML to health and social-good problems, currently developing wearable-based hydration prediction models at Hydrostasis in the San Francisco Bay Area. She combines a strong academic background in neuropsychology and genetics with hands-on production skills in Python, R, SQL, Docker and TensorFlow, and has led cross-functional teams of data scientists, engineers and web developers. A repeat educator and curriculum builder, Michelle has taught statistics, ML and data engineering at Galvanize and grown training programs that improved placement outcomes. As a co-founder of Ingane Health and a former researcher on autism and ADHD genetics in African populations, she brings rare domain expertise in translating sensitive behavioural and physiological signals into actionable product and clinical insights. Outside work she decompresses by hiking with her dogs and pursuing new languages, reflecting a persistent curiosity that fuels both research and practical product delivery.
11 years of coding experience
5 years of employment as a software developer
BSocSc (Hons), Psychology, Cum Laude, BSocSc (Hons), Psychology, Cum Laude at University of Cape Town
Bachelor of Science (BSc), Human Life Sciences, Cum Laude, Bachelor of Science (BSc), Human Life Sciences, Cum Laude at Stellenbosch University
Contributions:1 PR, 2 pushes, 1 branch in 2 years 10 months
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