Saige Wolfers
Data Scientist at University Of Michigan
Based in Tübingen, Germany
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Seniority
Staff
Department
Information Technology
Location
Tübingen
Industry
Higher Education
Company size
38K
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Background
About Saige Wolfers
My passion lies in developing machine learning tools that are ethically sound and clinically valuable, ensuring they serve the diverse needs of healthcare professionals and patients (especially within psychiatry). With a commitment to interdisciplinary collaboration, my goal is to integrate machine learning into healthcare, optimizing patient care through innovative, value-based solutions.As a PhD Candidate at Radboudumc, my focus is on harnessing machine learning to redefine psychiatric disorders as deviations from population norms rather than relying on case vs. control testing. I build ML models that are technically validated, audited across demographic subgroups, and easily accessible for clinicians (via no code required website). My work at the University of Michigan empowers me to manage and analyze extensive datasets (60+ TB), driving advancements in computational neuroscience and psychiatry. Skilled in MLOps, I facilitate seamless operations between data science and clinical application.
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